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

Clinical Information and Decision Making (1328) Health Services Research (410) Health Services Research and Health Care Utilization in Older Patients (76) Artificial Intelligence (1198) Electronic Health Records (966) Natural Language Processing (644) Machine Learning (1385) Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (17)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26486, first published .
Prediction of Readmission in Geriatric Patients From Clinical Notes: Retrospective Text Mining Study

Prediction of Readmission in Geriatric Patients From Clinical Notes: Retrospective Text Mining Study

Prediction of Readmission in Geriatric Patients From Clinical Notes: Retrospective Text Mining Study

Authors of this article:

Kim Huat Goh1 Author Orcid Image ;   Le Wang2 Author Orcid Image ;   Adrian Yong Kwang Yeow3 Author Orcid Image ;   Yew Yoong Ding4, 5 Author Orcid Image ;   Lydia Shu Yi Au6 Author Orcid Image ;   Hermione Mei Niang Poh7 Author Orcid Image ;   Ke Li7 Author Orcid Image ;   Joannas Jie Lin Yeow7 Author Orcid Image ;   Gamaliel Yu Heng Tan6, 7 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Van Olmen J, Van Nooten J, Philips H, Sollie A, Daelemans W. Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study. JMIR Medical Informatics 2022;10(4):e37771 View
  2. Gao Z, Liu X, Kang Y, Hu P, Zhang X, Yan W, Yan M, Yu P, Zhang Q, Xiao W, Zhang Z. Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model. Journal of Medical Internet Research 2024;26:e54363 View