This paper is in the following e-collection/theme issue:

Machine Learning (1400) Natural Language Processing (650) Decision Support for Health Professionals (1145) Electronic Health Records (971) Stroke (150) Clinical Information and Decision Making (1339)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29806, first published .
Early Prediction of Functional Outcomes After Acute Ischemic Stroke Using Unstructured Clinical Text: Retrospective Cohort Study

Early Prediction of Functional Outcomes After Acute Ischemic Stroke Using Unstructured Clinical Text: Retrospective Cohort Study

Early Prediction of Functional Outcomes After Acute Ischemic Stroke Using Unstructured Clinical Text: Retrospective Cohort Study

Authors of this article:

Sheng-Feng Sung1, 2 Author Orcid Image ;   Cheng-Yang Hsieh3 Author Orcid Image ;   Ya-Han Hu4 Author Orcid Image
Article Authors Cited by (8) Tweetations (7) Metrics

Sheng-Feng Sung   1, 2 , MD, PhD ;   Cheng-Yang Hsieh   3 , MD, PhD ;   Ya-Han Hu   4 , PhD

1 Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan

2 Department of Nursing, Min-Hwei Junior College of Health Care Management, Tainan, Taiwan

3 Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan

4 Department of Information Management, National Central University, Taoyuan City, Taiwan

Corresponding Author: