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2.
Braz. j. biol ; 84: e258128, 2024. tab, mapas, ilus
Artigo em Inglês | VETINDEX | ID: biblio-1374657

RESUMO

In the western mountainous region of Khyber Pakhtunkhwa Pakistan at the Shangla district, we found Physalis ixocarpa for the first time, not yet reported from Pakistan. Physalis ixocarpa was unidentified and has no ethnobotanical record in the flora of Pakistan. It is a member of family Solanaceae and having a close relation with Solanum tuberosum and Lycopersicon esculentum. The stem is prostrate with a dichotomous pattern of branches having leaves flower and fruits. Leaves are smooth, ovate and the margins of leaf blade dentation are poorly developed. The average length and width of the leaves are 6.50 and 3.61 cm respectively. P. ixocarpa grows to the length of 4-5 feet and an annual herb. The flowers of the plants are yellow in color and having purple color spots on the petals which are star-shaped. The round berry fruits are surrounded by persistent calyx and purple in color. The fruits are the 3-6cm in diameter. The plants are found in the different localities of district Shangla especially in Bar and Koz Kana. The life cycle of reporting plant is started in May and completed in November.


Na região montanhosa ocidental de Khyber Pakhtunkhwa, Paquistão, no distrito de Shangla, encontramos Physalis ixocarpa pela primeira vez, ainda não relatada nesse país. A P. ixocarpa não foi identificada e não possui registro etnobotânico na flora do Paquistão. É membro da família Solanaceae e tem estreita relação com Solanum tuberosum e Lycopersicon esculentum. O caule é rastejante com um padrão dicotômico de ramos com folhas, flores e frutos. As folhas são lisas e ovais e as margens da dentição da lâmina foliar são pouco desenvolvidas. O comprimento e a largura médios das folhas são de 6,50 e 3,61 cm, respectivamente. A P. ixocarpa cresce aproximadamente 120-150 cm de comprimento e é uma planta anual. As flores das plantas são de cor amarela com manchas roxas nas pétalas em forma de estrela. Os frutos redondos da baga são rodeados por cálice persistente e de cor roxa. Os frutos têm 3-6 cm de diâmetro. As plantas são encontradas em diferentes localidades do distrito de Shangla, especialmente em Bar e Koz Kana. O ciclo de vida da planta reportado é iniciado em maio e concluído em novembro.


Assuntos
Registros , Flora , Etnobotânica , Physalis , Paquistão
3.
Braz. j. biol ; 84: e254487, 2024. tab, ilus
Artigo em Inglês | LILACS, VETINDEX | ID: biblio-1364508

RESUMO

Biological samples obtained from a small temporary pond of northern Colombia yielded the first record Coronatella undata Sousa, Elmoor-Loureiro and Santos, 2015 and of the male of C. monacantha (Sars, 1901) for Colombia. In this study, the morphology of female of Coronatella undata and female and male of C. monacantha was described and compared to other species within the genus. C. undata was originally described from Brazil and, among the species of the Coronatella monacantha complex, seems to be closely related to C. acuticostata (Sars, 1903). C. undata shows some similarities with C. monacantha, but it can be identified by important diagnostic characters such as: 1) posterior-ventral corner of valve with two denticles, 2) seta on exopodite of trunk limb II rudimentary, 3) filter comb of trunk limb II with six setae, 4) ODL seta of trunk limb I shorter than longest seta of IDL. C. monacantha is the most reported species in the Neotropical region and the male most resemble C. paulinae Sousa, Elmoor-Loureiro & Santos, 2015 in relation to (i), length/wide of postabdomen ratio (ii) basal spine almost straight and (iii)) long basal spine reaching the mid-length of basal spine. However, they can be separated by (i) number of lateral seta on the antennule, (ii) postanal angle, (iii) position of gonopore (iv) presence of a denticle on posterior-ventral corner of valve.


Amostras biológicas obtidas de uma pequena lagoa temporária do norte da Colômbia proporcionaram o primeiro registro de Coronatella undata Sousa, Elmoor-Loureiro e Santos, 2015 e do macho de Coronatella monacantha (Sars, 1901) na Colômbia. Neste estudo, foi descrita a morfologia de fêmeas de C. undata e de fêmeas e machos de C. monacantha, comparando-a com outras espécies do gênero. Coronatella undata foi descrita originalmente no Brasil e, entre as espécies do complexo C. monacantha, parece estar intimamente relacionada com Coronatella acuticostata (Sars, 1903). Coronatella undata apresenta algumas semelhanças com C. monacantha, mas pode ser identificada por seus principais caracteres, tais como: 1) ângulo posterior ventral da valva com dois dentículos; 2) cerda rudimentar no exopodito do ramo do tronco II; 3) filtro da gnatobase do apêndice torácico II com seis cerdas; 4) cerda ODL do membro do tronco I mais curta que a cerda mais longa do IDL. Coronatella monacantha é a espécie mais relatada na região neotropical, e o macho se assemelha mais a Coronatella paulinae Sousa, Elmoor-Loureiro & Santos em relação à/ao: (i) razão comprimento / largura do pós-abdômen, (ii) espinho basal quase reto e (iii) espinho basal longo com a metade do comprimento do espinho basal. No entanto, eles podem ser separados pelo/pela: (i) número de cerdas laterais na antênula, (ii) ângulo postanal, (iii) posição do gonóporo e (iv) presença de dentículo no canto ventral posterior da valva.


Assuntos
Animais , Lagoas , Registros , Crustáceos , Colômbia
4.
PLoS One ; 17(11): e0276870, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36331929

RESUMO

The present work discusses the laminar boundary layer flow of an electrically conducting Casson fluid due to a horizontal perforated sheet undergoing linear shrinking/stretching with mass transpiration. Navier's slip and second-order slip conditions are also imposed on the flow. The system is subjected to a transverse magnetic field. The non-Newtonian flow under consideration obeys the rheological equation of state due to the Casson model. The PDEs governing the bounder layer flow is reduced to a nonlinear boundary value problem in ODEs by utilizing appropriate similarity transformations and are expressed analytically. The similarity solution is found to be a function of the Casson parameter, magnetic parameter, mass suction/injection parameter, and the first/second-order slip parameters. Such a solution is either unique, or dual solutions exist in a region defined by the mass transfer induced slip parameter. The results of the present work are found to be an increase of the magnetic effects resulting in expansion of the unique solution region and contraction of the dual solution region for the flow due to the induced Lorentz force. In the unique solution region, an increase in magnitudes of mass suction induced slip and the first/second-order slip parameters result in a reduction of the wall shear stress in the shrinking sheet, while the wall shear stress with mass suction increases with the Casson and the magnetic effects. Similar results exist for the stretching sheet case with mass suction. However, only unique similarity solutions exist only for the case of stretching sheets with mass injection. The current work is a generalization of the classical works of Crane (1970) and Pavlov (1974) for a stretching sheet. Mass suction/injection induced slip enhances and achieves a dominant flow driven by reversing the flow direction of the moving sheet, which allows an adjacent flow against the sheet. The findings have possible industrial applications in fluid-based systems including stretchable/shrinkable things, automated cooling systems, power generation, microelectronics, and present new results to the problem.


Assuntos
Campos Magnéticos , Registros , Reologia
5.
Sci Rep ; 12(1): 20176, 2022 Nov 23.
Artigo em Inglês | MEDLINE | ID: mdl-36418406

RESUMO

A reduction in the unnecessary use of antibiotic prophylaxis can prevent antibiotic resistance and adverse drug events. We aimed to evaluate the effects of implementing clinical pathways (CPs) on adherence to a systematic and appropriate duration of antibiotic prophylaxis. We identified 61 eligible CPs and a total of 44,062 patients who underwent elective surgeries associated with CPs. The Poisson mixed model with an interrupted time-series analysis frame was applied to the patient-level data. This enabled a comparison of the adherence rate before and after CP implementation. Furthermore, we examined the effect of application or completion of CP on the adherence rate after implementation. Adherence to the antibiotic prophylaxis guideline substantially increased (incident rate ratio [IRR] 8.05; 95 confidence interval [CI] 2.64-24.55), compared with that before implementation. Following the implementation into the electronic entry system, we observed an improved adherence not only in CP completion but also in attempted CP execution (IRR of the executed but not completed cases 1.54; 95% CI 1.17-2.04; IRR of the executed and competed cases, 1.94; 95% CI 1.4-2.69). The implementation of CP into the electronic prescribing system was associated with a significant increase in the appropriate use of antibiotic prophylaxis among patients who underwent elective surgeries. The results suggest that a computer-assisted CP system for electronic health records could improve antibiotic adherence without significant expense.


Assuntos
Antibioticoprofilaxia , Procedimentos Clínicos , Humanos , Antibioticoprofilaxia/métodos , Procedimentos Cirúrgicos Eletivos , Antibacterianos/uso terapêutico , Registros
6.
Sci Rep ; 12(1): 20212, 2022 Nov 23.
Artigo em Inglês | MEDLINE | ID: mdl-36418459

RESUMO

Perceptions of current stimuli are sometimes biased toward or away from past perceptions. This phenomenon is called serial dependence. However, it remains unclear whether serial dependence originates from lower-order perceptual processing, higher-order perceptual processing or cognitive processing. We examined the effects of serial dependence when participants estimated the total number of coins or the monetary value of coins displayed and found attractive effects in both tasks. The attractive effect observed in the value estimation task suggests that serial dependence occurs through higher-order cognitive processes during calculation. We also examined the effect of response history (i.e., the responses of participants on previous trials), with multiple regression analyses that simultaneously evaluated the effects of the previous stimuli and responses. In both number and value estimation tasks, the immediately prior response had an attractive effect on current responses, while the immediately prior stimuli exerted a repulsive effect. This pattern suggests that the attractive serial dependence found in the single regression analysis was due to the correlation between stimulus and response in the previous trials and that the effect of past stimuli per se may be an adaptation that increases sensitivity to current stimuli.


Assuntos
Asco , Numismática , Humanos , Aclimatação , Processos Mentais , Registros
7.
Sci Rep ; 12(1): 20139, 2022 Nov 22.
Artigo em Inglês | MEDLINE | ID: mdl-36418867

RESUMO

When facing particular combinations of stimuli and responses, people create temporary event-files integrating the corresponding stimulus and response features. Subsequent repetition of one or more of these features retrieves the entire event-file, which impairs performance if not all features are repeated (partial-repetition costs). In the literature, different decay functions have been reported presumably dependent on the type of feature that is repeated (e.g. target vs. distractor features). Here, we use a variant of the S1R1-S2R2 and distractor-response binding task and analyze for the first time target-based and distractor-based event-file decay functions within the same task and sample. While we found evidence for decay functions and also stronger retrieval due to target than distractor repetitions, slopes of the decay functions were comparable suggesting that the decay process itself is equal irrespective of the type of stimulus feature that is repeated. Our study thereby confirms overarching approaches that summarize paradigm specific findings with the same set of core processes.


Assuntos
Cabeça , Registros , Humanos
8.
BMJ Open ; 12(11): e062673, 2022 11 21.
Artigo em Inglês | MEDLINE | ID: mdl-36410819

RESUMO

OBJECTIVES: Exact wound diagnosis is essential for successful wound management and a holistic care of the patient suffering from a wound. Wound management has been traditionally seen as a nursing area, but this can lead to considerable delays in wound diagnostics. A diagnostic delay has been recognised as an element of diagnostic error, which, in turn, affects patient safety. The aim of this cohort study was to examine diagnostic delays of chronic wound within primary care. SETTING: A specialised diagnostic unit, a wound care team, was established in the primary healthcare with the objective of reducing diagnostic and treatment delays in primary care. PARTICIPANTS: The data consists of 197 consecutive patients attending their first appointment with the wound care team in 2016. The collected data included basic demographics, information about the clinical pathway, including doctor's appointments in primary and specialised care, as well as the International Classification of Diseases 10th Revision (ICD-10) diagnostic codes. PRIMARY AND SECONDARY OUTCOME MEASURES: The diagnostic delays were calculated in days and divided into three groups: (1) patient-related delay, (2) diagnostic delay and (3) organisational delay. RESULTS: The median duration of a patient-related delay was 2 days (IQR 0-14), whereas a physician's first evaluation was performed at a median of 8 (1-32) days from wound appearance and the correct diagnosis by the wound care team was established in a median of 57 (33-100) days. The organisational delay from first contact to diagnosis was a median of 41 (22-80) days. Only one in three patients had a diagnostic delay of less than 4 weeks. CONCLUSIONS: According to this study, the diagnostic delay occurs within primary care, as an organisational delay from first contact to correct diagnosis. It is possible to arrange an optimal pathway of care in which a holistic wound care process starts within primary care.


Assuntos
Procedimentos Clínicos , Diagnóstico Tardio , Humanos , Estudos de Coortes , Registros , Atenção Primária à Saúde
9.
PLoS One ; 17(11): e0277924, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36413562

RESUMO

Interactions between stock and cryptocurrency markets have experienced shifts and changes in their dynamics. In this paper, we study the connection between S&P500 and Bitcoin in higher-order moments, specifically up to the fourth conditional moment, utilizing the time-scale perspective of the wavelet coherence analysis. Using data from 19 August 2011 to 14 January 2022, the results show that the co-movement between Bitcoin and S&P500 is moment-dependent and varies across time and frequency. There is very weak or even non-existent connection between the two markets before 2018. Starting 2018, but mostly 2019 onwards, the interconnections emerge. The co-movements between the volatility of Bitcoin and S&P500 intensified around the COVID-19 outbreak, especially at mid-term scales. For skewness and kurtosis, the co-movement is stronger and more significant at mid- and long-term scales. A partial-wavelet coherence analysis underlines the intermediating role of economic policy uncertainty (EPU) in provoking the Bitcoin-S&P500 nexus. These results reflect the co-movement between US stock and Bitcoin markets beyond the second moment of return distribution and across time scales, suggesting the relevance and importance of considering fat tails and return asymmetry when jointly considering US equity-Bitcoin trading or investments and the policy formulation for the sake of US market stability.


Assuntos
COVID-19 , Modelos Econômicos , Humanos , Comércio , COVID-19/epidemiologia , Investimentos em Saúde , Registros
10.
PLoS One ; 17(11): e0274448, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36395273

RESUMO

Divide-and-conquer dividing by a half recurrences, of the form [Formula: see text] appear in many areas of applied mathematics, from the analysis of algorithms to the optimization of phylogenetic balance indices. These equations are usually "solved" by means of a Master Theorem that provides a bound for the growing order of xn, but not the solution's explicit expression. In this paper we give a finite explicit expression for this solution, in terms of the binary decomposition of n, when the independent term p(n) is a polynomial in ⌈n/2⌉ and ⌊n/2⌋. As an application, we obtain explicit formulas for several sequences of interest in phylogenetics, combinatorics, and computer science, for which no such formulas were known so far: for instance, for the Total Cophenetic index and the rooted Quartet index of the maximally balanced bifurcating phylogenetic trees with n leaves, and the sum of the bitwise AND operator applied to pairs of complementary numbers up to n.


Assuntos
Algoritmos , Registros , Filogenia
11.
Sensors (Basel) ; 22(22)2022 Nov 15.
Artigo em Inglês | MEDLINE | ID: mdl-36433403

RESUMO

Pork is the most widely consumed meat product in the world, and achieving accurate detection of individual pigs is of great significance for intelligent pig breeding and health monitoring. Improved pig detection has important implications for improving pork production and quality, as well as economics. However, most of the current approaches are based on manual labor, resulting in unfeasible performance. In order to improve the efficiency and effectiveness of individual pig detection, this paper describes the development of an attention module enhanced YOLOv3-SC model (YOLOv3-SPP-CBAM. SPP denotes the Spatial Pyramid Pooling module and CBAM indicates the Convolutional Block Attention Module). Specifically, leveraging the attention module, the network will extract much richer feature information, leading the improved performance. Furthermore, by integrating the SPP structured network, multi-scale feature fusion can be achieved, which makes the network more robust. On the constructed dataset of 4019 samples, the experimental results showed that the YOLOv3-SC network achieved 99.24% mAP in identifying individual pigs with a detection time of 16 ms. Compared with the other popular four models, including YOLOv1, YOLOv2, Faster-RCNN, and YOLOv3, the mAP of pig identification was improved by 2.31%, 1.44%, 1.28%, and 0.61%, respectively. The YOLOv3-SC proposed in this paper can achieve accurate individual detection of pigs. Consequently, this novel proposed model can be employed for the rapid detection of individual pigs on farms, and provides new ideas for individual pig detection.


Assuntos
Trabalho de Parto , Produtos da Carne , Suínos , Animais , Gravidez , Feminino , Fazendas , Inteligência , Registros
12.
Sensors (Basel) ; 22(22)2022 Nov 15.
Artigo em Inglês | MEDLINE | ID: mdl-36433415

RESUMO

Breast cancer is the type of cancer with the highest incidence and global mortality of female cancers. Thus, the adaptation of modern technologies that assist in medical diagnosis in order to accelerate, automate and reduce the subjectivity of this process are of paramount importance for an efficient treatment. Therefore, this work aims to propose a robust platform to compare and evaluate the proposed strategies for improving breast ultrasound images and compare them with state-of-the-art techniques by classifying them as benign, malignant and normal. Investigations were performed on a dataset containing a total of 780 images of tumor-affected persons, divided into benign, malignant and normal. A data augmentation technique was used to scale up the corpus of images available in the chosen dataset. For this, novel image enhancement techniques were used and the Multilayer Perceptrons, k-Nearest Neighbor and Support Vector Machines algorithms were used for classification. From the promising outcomes of the conducted experiments, it was observed that the bilateral algorithm together with the SVM classifier achieved the best result for the classification of breast cancer, with an overall accuracy of 96.69% and an accuracy for the detection of malignant nodules of 95.11%. Therefore, it was found that the application of image enhancement methods can help in the detection of breast cancer at a much earlier stage with better accuracy in detection.


Assuntos
Mamografia , Paraganglioma , Feminino , Humanos , Aumento da Imagem , Ultrassonografia Mamária , Algoritmos , Registros
13.
Sensors (Basel) ; 22(22)2022 Nov 17.
Artigo em Inglês | MEDLINE | ID: mdl-36433489

RESUMO

Diagnostic load testing refers to the use of the measured historical responses of the structure in the field data to better understand its dynamic and static structural behaviours. It is important and necessary to predict the health state, load capacity, and aging of the structure by updating the finite element (FE) model, which can give useful information to aid the design of retrofits and the maintenance of the existing bridge in the future. The paper presents an update of the full-scale FE model for the reinforced concrete (RC) bridge structure over the seawater river based on the experimental strains under the static load testing in which the representative FE model of the actual structure is determined from the optimisation procedures. The optimisation variables are applied, including the cross-sectional properties and concrete material calibrated through the genetic algorithm (GA) optimisation in the MATLAB software, which interfaces with the FE modelling in the scripting of the SOFISTIK TEDDY software automatically. The bending moments at the mid-span of the RC girders are determined in the FE modelling to compute stresses, which are compared with the measured stresses through optimisation scenarios with a percentage error of the objective function less than 10%. The measured data of concrete strains are recorded from reusable strain transducers installed on the mid-span girders for every bridge span, which are used to calibrate the bridge model in static load testing. The novelty of the solution is to implement innovative techniques using field data as an improved approach for calibrating automatically the analytical FE model parameters of all RC spans of the bridge until its static behaviours are very similar to those of the actual bridge. The final updated FE modelling is used to apply truck load configurations according to bridge design standards such as the AASHTO specifications, which can predict the load limits of the existing bridge structure more accurately and reliably. These proposed approaches can be applied to large bridges as well as complex structures with supporting FE analysis software and data processing software.


Assuntos
Envelhecimento , Registros , Humanos , Análise de Elementos Finitos , Rios , Asiáticos
14.
Artigo em Inglês | MEDLINE | ID: mdl-36429351

RESUMO

Several academicians have been actively contributing to establishing a practical solution to storing and distributing medical images and test reports in the research domain of health care in recent years. Current procedures mainly rely on cloud-assisted centralized data centers, which raise maintenance expenditure, necessitate a large amount of storage space, and raise privacy concerns when exchanging data across a network. As a result, it is critically essential to provide a framework that allows for the efficient exchange and storage of large amounts of medical data in a secure setting. In this research, we describe a unique proof-of-concept architecture for a distributed patient-centric test report and image management (PCRIM) system that aims to facilitate patient privacy and control without the need for a centralized infrastructure. We used an Ethereum blockchain and a distributed file system technology called the Inter-Planetary File System in this system (IPFS). Then, to secure a distributed and trustworthy access control policy, we designed an Ethereum smart contract termed the patient-centric access control protocol. The IPFS allows for the decentralized storage of medical metadata, such as images, with worldwide accessibility. We demonstrate how the PCRIM system design enables hospitals, patients, and image requestors to obtain patient-centric data in a distributed and secure manner. Finally, we tested the proposed framework in the Windows environment by deploying a smart contract prototype on an Ethereum TESTNET blockchain. The findings of the study indicate that the proposed strategy is both efficient and practicable.


Assuntos
Blockchain , Humanos , Registros , Tecnologia , Confidencialidade , Assistência Centrada no Paciente
15.
Artigo em Inglês | MEDLINE | ID: mdl-36430091

RESUMO

To reduce the health burden from particulate matter (PM), the Korean government implemented a nationwide PM10 (particles less than 10 µg/m3 in diameter) alert system in 2015. The policy was intended to reduce PM exposure by advising people to refrain from outdoor activities on highly polluted days. The present study aimed to estimate the effect of the PM10 alert system on people's daily outdoor activity patterns using urban park (specifically, Children's Grand Park) visitation data from Seoul, South Korea, from 2014-2019. Segmented regression was fitted to estimate whether the number of visitors to the park decreased on the days with PM10 alerts. PM10 concentration of 80 µg/m3, the cut-off point for a "Bad" alert, was set as a threshold, and discontinuity at the threshold and change in the relative risk after the threshold was tested. Time series regression was used to estimate the dose-response line between the ambient PM10 concentration and the daily number of park visitors. The number of park visitors decreased by 11.8% (relative risk: 0.881, 95% confidence interval: 0.808, 0.960) when a "Bad" alert was issued (PM10 level above 80 µg/m3) compared to when the alert level was "Normal" (PM10 level less than 80 µg/m3). The present study found evidence that the PM10 alert influenced people's daily outdoor activities in Seoul, Korea. As the main purpose of the PM alert is to encourage people to refrain from outdoor activities, evaluating the relationship between PM alerts and behavior patterns can help to grasp the effectiveness of the policy. Further efforts should be made to investigate whether the observed behavioral change leads to reductions in health outcomes caused by PM.


Assuntos
Parques Recreativos , Material Particulado , Criança , Humanos , Seul , República da Coreia , Registros
16.
PLoS One ; 17(11): e0276669, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36441716

RESUMO

Input-shaping control has received considerable research attention for suppressing residual vibrations. Although numerous studies have been conducted on designing input shapers with arbitrary robustness to modeling errors, no studies have focused on the design of input shapers with arbitrarily specified shaping times. In this study, a specified-duration (SD) shaper, which is an input shaper with an arbitrarily specified shaping time, and a systematic method to design an SD shaper using impulse vectors are proposed. As the specified shaping time increases, the SD shaper increases the number of impulses one by one according to the number of added derivative constraints, thereby improving robustness to modeling errors. The performance of the SD shaper was evaluated for a second-order system through computer simulations. The simulation results revealed that the SD shaper suppresses residual vibrations of the vibratory system at the specified shaping time. The validity of the SD shaper was experimentally verified using a horizontal beam vibration apparatus. The results of this study provide insight into the development of vibration suppression strategies with input shaping control.


Assuntos
Registros , Vibração , Humanos , Progressão da Doença , Simulação por Computador
17.
Transl Vis Sci Technol ; 11(11): 20, 2022 Nov 01.
Artigo em Inglês | MEDLINE | ID: mdl-36441131

RESUMO

Purpose: To describe the methods involved in processing and characteristics of an open dataset of annotated clinical notes from the electronic health record (EHR) annotated for glaucoma medications. Methods: In this study, 480 clinical notes from office visits, medical record numbers (MRNs), visit identification numbers, provider names, and billing codes were extracted for 480 patients seen for glaucoma by a comprehensive or glaucoma ophthalmologist from January 1, 2019, to August 31, 2020. MRNs and all visit data were de-identified using a hash function with salt from the deidentifyr package. All progress notes were annotated for glaucoma medication name, route, frequency, dosage, and drug use using an open-source annotation tool, Doccano. Annotations were saved separately. All protected health information (PHI) in progress notes and annotated files were de-identified using the published de-identifying algorithm Philter. All progress notes and annotations were manually validated by two ophthalmologists to ensure complete de-identification. Results: The final dataset contained 5520 annotated sentences, including those with and without medications, for 480 clinical notes. Manual validation revealed 10 instances of remaining PHI which were manually corrected. Conclusions: Annotated free-text clinical notes can be de-identified for upload as an open dataset. As data availability increases with the adoption of EHRs, free-text open datasets will become increasingly valuable for "big data" research and artificial intelligence development. This dataset is published online and publicly available at https://github.com/jche253/Glaucoma_Med_Dataset. Translational Relevance: This open access medication dataset may be a source of raw data for future research involving big data and artificial intelligence research using free-text.


Assuntos
Registros Eletrônicos de Saúde , Glaucoma , Humanos , Inteligência Artificial , Glaucoma/tratamento farmacológico , Glaucoma/epidemiologia , Big Data , Registros
18.
Sci Rep ; 12(1): 20478, 2022 Nov 28.
Artigo em Inglês | MEDLINE | ID: mdl-36443331

RESUMO

Early circulatory failure detection is an effective way to reduce medical fatigue and improve state pre-warning ability. Instead of using 0-1 original state, a transformed state is proposed in this research, which reflects how the state is transformed. The performance of the proposed method is compared with the original method under three models, including logistic regression, AdaBoost and XGBoost. The results show that the model XGBoost generally has the best performance measured by AUC, F1 and Sensitivity with values around 0.93, 0.91 and 0.90, at the prediction gaps 5, 10 and 20 separately. Under the model XGBoost, the method with transformed response variable has significantly better performance than that with the original response variable, with the performance metrics being around 1% to 4% higher, and the t values are all significant under the level 0.01. In order to explore the model performance under different baseline information, a subgroup analysis is conducted under sex, age, weight and height. The results demonstrate that sex and age have more significant influence on the model performance especially at the higher gaps than weight and height.


Assuntos
Benchmarking , Aprendizado de Máquina , Humanos , Fadiga , Registros
19.
Sci Rep ; 12(1): 20445, 2022 Nov 28.
Artigo em Inglês | MEDLINE | ID: mdl-36443506

RESUMO

Location-based services (LBS) are capable of providing location-based information retrieval, traffic navigation, entertainment services, emergency rescues, and several similar services primarily on the premise of the geographic location of users or mobile devices. However, in the process of introducing a new user experience, it is also easy to expose users' specific location which can result in more private information leakage. Hence, the protection of location privacy remains one of the critical issues of the location-based services. Moreover, the areas where humans work and live have different location semantics and sensitivities according to their different social functions. Although the privacy protection of a user's real location can be achieved by the perturbation algorithm, the attackers may employ the semantics information of the perturbed location to infer a user's real location semantics in an attempt to spy on a user's privacy to certain extent. In order to mitigate the above semantics inference attack, and further improve the quality of the location-based services, this paper hereby proposes a user side location perturbation and optimization algorithm based on geo-indistinguishability and location semantics. The perturbation area satisfying geo-indistinguishability is thus generated according to the planar Laplace mechanism and optimized by combining the semantics information and time characteristics of the location. The optimum perturbed location that is able to satisfy the minimum loss of location-based service quality is selected via a linear programming method, and can be employed to replace the real location of the user so as to prevent the leakage of the privacy. Experimental comparison of the actual road network and location semantics dataset manifests that the proposed method reduces approximately 37% perturbation distance in contrast to the other state-of-the-art methods, maintains considerably lower similarity of location semantics, and improves region counting query accuracy by a margin of around 40%.


Assuntos
Privacidade , Semântica , Humanos , Armazenamento e Recuperação da Informação , Registros , Algoritmos
20.
BMC Med Res Methodol ; 22(1): 306, 2022 Nov 28.
Artigo em Inglês | MEDLINE | ID: mdl-36443653

RESUMO

BACKGROUND: Diagnostic evidence of the accuracy of a test for identifying a target condition of interest can be estimated using systematic approaches following standardized methodologies. Statistical methods for the meta-analysis of diagnostic test accuracy (DTA) studies are relatively complex, presenting a challenge for reviewers without extensive statistical expertise. In 2006, we developed Meta-DiSc, a free user-friendly software to perform test accuracy meta-analysis. This statistical program is now widely used for performing DTA meta-analyses. We aimed to build a new version of the Meta-DiSc software to include statistical methods based on hierarchical models and an enhanced web-based interface to improve user experience. RESULTS: In this article, we present the updated version, Meta-DiSc 2.0, a web-based application developed using the R Shiny package. This new version implements recommended state-of-the-art statistical models to overcome the limitations of the statistical approaches included in the previous version. Meta-DiSc 2.0 performs statistical analyses of DTA reviews using a bivariate random effects model. The application offers a thorough analysis of heterogeneity, calculating logit variance estimates of sensitivity and specificity, the bivariate I-squared, the area of the 95% prediction ellipse, and the median odds ratios for sensitivity and specificity, and facilitating subgroup and meta-regression analyses. Furthermore, univariate random effects models can be applied to meta-analyses with few studies or with non-convergent bivariate models. The application interface has an intuitive design set out in four main menus: file upload; graphical description (forest and ROC plane plots); meta-analysis (pooling of sensitivity and specificity, estimation of likelihood ratios and diagnostic odds ratio, sROC curve); and summary of findings (impact of test through downstream consequences in a hypothetical population with a given prevalence). All computational algorithms have been validated in several real datasets by comparing results obtained with STATA/SAS and MetaDTA packages. CONCLUSION: We have developed and validated an updated version of the Meta-DiSc software that is more accessible and statistically sound. The web application is freely available at www.metadisc.es .


Assuntos
Testes Diagnósticos de Rotina , Software , Humanos , Registros , Razão de Chances , Algoritmos
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