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1.
BMC Med Inform Decis Mak ; 17(Suppl 1): 60, 2017 May 18.
Artículo en Inglés | MEDLINE | ID: mdl-28539115

RESUMEN

BACKGROUND: The number of people with dementia is increasing along with people's ageing trend worldwide. Therefore, there are various researches to improve a dementia diagnosis process in the field of computer-aided diagnosis (CAD) technology. The most significant issue is that the evaluation processes by physician which is based on medical information for patients and questionnaire from their guardians are time consuming, subjective and prone to error. This problem can be solved by an overall data mining modeling, which subsidizes an intuitive decision of clinicians. METHODS: Therefore, in this paper we propose a quad-phased data mining modeling consisting of 4 modules. In Proposer Module, significant diagnostic criteria are selected that are effective for diagnostics. Then in Predictor Module, a model is constructed to predict and diagnose dementia based on a machine learning algorism. To help clinical physicians understand results of the predictive model better, in Descriptor Module, we interpret causes of diagnostics by profiling patient groups. Lastly, in Visualization Module, we provide visualization to effectively explore characteristics of patient groups. RESULTS: The proposed model is applied for CREDOS study which contains clinical data collected from 37 university-affiliated hospitals in republic of Korea from year 2005 to 2013. CONCLUSIONS: This research is an intelligent system enabling intuitive collaboration between CAD system and physicians. And also, improved evaluation process is able to effectively reduce time and cost consuming for clinicians and patients.


Asunto(s)
Minería de Datos , Demencia/diagnóstico , Máquina de Vectores de Soporte , Simulación por Computador , Árboles de Decisión , Diagnóstico por Computador , Humanos , Redes Neurales de la Computación
2.
Artículo en Inglés | MEDLINE | ID: mdl-31527556

RESUMEN

(1) Background: The Electronic Medical Record system, which is a digital medical record management architecture, is critical for reliable medical research. It facilitates the investigation of disease patterns and efficient treatment via collaboration with data scientists. (2) Methods: In this study, we present multidimensional visual tools for the analysis of multidimensional datasets via a combination of 3-dimensional radial coordinate visualization (3D RadVis) and many-objective optimization (e.g., Parallel Coordinates). Also, we propose a user-driven research design to facilitate visualization. We followed a design process to (1) understand the demands of domain experts, (2) define the problems based on relevant works, (3) design visualization, (4) implement visualization, and (5) enable qualitative evaluation by domain experts. (3) Results: This study provides clinical insight into dementia based on EMR data via visual analysis. Results of a case study based on questionnaires surveying daily living activities indicated that daily behaviors influenced the progression of dementia. (4) Conclusions: This study provides a visual analytical tool to support cluster segmentation. Using this tool, we segmented dementia patients into clusters and interpreted the behavioral patterns of each group. This study contributes to biomedical data interpretation based on a visual approach.


Asunto(s)
Visualización de Datos , Demencia/clasificación , Registros Electrónicos de Salud , Humanos , Proyectos de Investigación
3.
Int Immunopharmacol ; 6(3): 473-84, 2006 03.
Artículo en Inglés | MEDLINE | ID: mdl-16428083

RESUMEN

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted at the request of the Editor-in-Chief, as there are concerns about inappropriate re-use of published figures. In this study, the same Western blot has been used to represent different studies with different drugs (methoxychalcone vs ganodermanondiol), cell extracts (macrophages versus hepatocytes) and different targets (Nrf2 vs LKB1). The concern was initially raised in PubPeer, the response from author on PubPeer was not acceptable. The journal Editor in Chief requested the author to provide the explanation, however, the author was not able to fulfil this request. PubPeer - Activation of murine peritoneal macrophages by sulfated exop… [pubpeer.com]


Asunto(s)
Eucariontes/inmunología , Proteínas Quinasas JNK Activadas por Mitógenos/fisiología , Sistema de Señalización de MAP Quinasas/inmunología , Activación de Macrófagos/inmunología , Macrófagos Peritoneales/inmunología , FN-kappa B/fisiología , Polisacáridos/inmunología , Animales , Células Cultivadas , Citotoxicidad Inmunológica , Proteínas Quinasas JNK Activadas por Mitógenos/antagonistas & inhibidores , Macrófagos Peritoneales/enzimología , Masculino , Melanoma Experimental/enzimología , Melanoma Experimental/inmunología , Melanoma Experimental/patología , Melanoma Experimental/prevención & control , Ratones , Ratones Endogámicos BALB C , Ratones Endogámicos C57BL , Óxido Nítrico/metabolismo , Óxido Nítrico Sintasa de Tipo II/metabolismo , Polisacáridos/metabolismo
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