Detalhe da pesquisa
1.
Application of Machine Learning Techniques to Development of Emergency Medical Rapid Triage Prediction Models in Acute Care.
Comput Inform Nurs
; 42(1): 35-43, 2024 Jan 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-38086831
2.
A Machine Learning-Based Fall Risk Assessment Model for Inpatients.
Comput Inform Nurs
; 39(8): 450-459, 2021 Apr 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-34397476
3.
Two Decades of Research Using Taiwan's National Health Insurance Claims Data: Bibliometric and Text Mining Analysis on PubMed.
J Med Internet Res
; 22(6): e18457, 2020 06 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-32543443
4.
Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques.
Comput Inform Nurs
; 38(8): 415-423, 2020 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-32205474
5.
Validation of a novel claims-based stroke severity index in patients with intracerebral hemorrhage.
J Epidemiol
; 27(1): 24-29, 2017 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-28135194
6.
Comorbidity study of borderline personality disorder: applying association rule mining to the Taiwan national health insurance research database.
BMC Med Inform Decis Mak
; 17(1): 8, 2017 01 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-28077135
7.
Applying the Temporal Abstraction Technique to the Prediction of Chronic Kidney Disease Progression.
J Med Syst
; 41(5): 85, 2017 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-28401396
8.
A comparison of stroke severity proxy measures for claims data research: a population-based cohort study.
Pharmacoepidemiol Drug Saf
; 25(4): 438-43, 2016 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-26696591
9.
Validity of a stroke severity index for administrative claims data research: a retrospective cohort study.
BMC Health Serv Res
; 16(1): 509, 2016 Sep 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-27660046
10.
Exploring the impact of intravenous thrombolysis on length of stay for acute ischemic stroke: a retrospective cohort study.
BMC Health Serv Res
; 15: 404, 2015 Sep 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-26399930
11.
Predicting Factors and Risk Stratification for Return Visits to the Emergency Department Within 72 Hours in Pediatric Patients.
Pediatr Emerg Care
; 31(12): 819-24, 2015 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-25875996
12.
Integrating Fuzzy Multiobjective Programming and System Dynamics to Develop an Approach for Talent Retention Policy Selection: Case on Health-Care Industry.
J Healthc Eng
; 2023: 5934523, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-36852220
13.
An analysis of Chinese nursing electronic medical records to predict violence in psychiatric inpatients using text mining and machine learning techniques.
PLoS One
; 18(6): e0286347, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37285344
14.
Erratum to "Validation of a novel claims-based stroke severity index in patients with intracerebral hemorrhage" [J Epidemiol 27 (1) (2017) 24-29].
J Epidemiol
; 27(9): 451-453, 2017 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-28668443
15.
Early Prediction of Functional Outcomes After Acute Ischemic Stroke Using Unstructured Clinical Text: Retrospective Cohort Study.
JMIR Med Inform
; 10(2): e29806, 2022 Feb 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-35175201
16.
Automated risk assessment of newly detected atrial fibrillation poststroke from electronic health record data using machine learning and natural language processing.
Front Cardiovasc Med
; 9: 941237, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35966534
17.
Predicting the Risk of Future Multiple Suicide Attempt among First-Time Suicide Attempters: Implications for Suicide Prevention Policy.
Healthcare (Basel)
; 10(4)2022 Apr 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-35455845
18.
Developing a stroke alert trigger for clinical decision support at emergency triage using machine learning.
Int J Med Inform
; 152: 104505, 2021 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-34030088
19.
Natural Language Processing Enhances Prediction of Functional Outcome After Acute Ischemic Stroke.
J Am Heart Assoc
; 10(24): e023486, 2021 12 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-34796719
20.
EMR-Based Phenotyping of Ischemic Stroke Using Supervised Machine Learning and Text Mining Techniques.
IEEE J Biomed Health Inform
; 24(10): 2922-2931, 2020 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-32142458