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

Clinical Information and Decision Making (854) Health Services Research (198) Health Services Research and Health Care Utilization in Older Patients (32) Artificial Intelligence (614) Electronic Health Records (745) Natural Language Processing (470) Machine Learning (950) Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (13)

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 Goh 1 Author Orcid Image ;   Le Wang 2 Author Orcid Image ;   Adrian Yong Kwang Yeow 3 Author Orcid Image ;   Yew Yoong Ding 4, 5 Author Orcid Image ;   Lydia Shu Yi Au 6 Author Orcid Image ;   Hermione Mei Niang Poh 7 Author Orcid Image ;   Ke Li 7 Author Orcid Image ;   Joannas Jie Lin Yeow 7 Author Orcid Image ;   Gamaliel Yu Heng Tan 6, 7 Author Orcid Image
Article Authors Cited by Tweetations (6) Metrics
Kim Huat Goh 1 , PhD ;   Le Wang 2 , PhD ;   Adrian Yong Kwang Yeow 3 , PhD ;   Yew Yoong Ding 4, 5 , MBBS, MPH, PhD ;   Lydia Shu Yi Au 6 , MBBS, MMed ;   Hermione Mei Niang Poh 7 , BSc (Hons) ;   Ke Li 7 , MD ;   Joannas Jie Lin Yeow 7 , BBus ;   Gamaliel Yu Heng Tan 6, 7 , MBBS, MMed

1 Nanyang Business School , Nanyang Technological University , Singapore , SG

2 City University of Hong Kong , Hong Kong , HK

3 School of Business , Singapore University of Social Sciences , Singapore , SG

4 Tan Tock Seng Hospital , Singapore , SG

5 Geriatric Education and Research Institute , Singapore , SG

6 Ng Teng Fong General Hospital , Singapore , SG

7 Medical Informatics , National University Health System , Singapore , SG

Corresponding Author:

  • Kim Huat Goh, PhD
  • Nanyang Business School
  • Nanyang Technological University
  • S3-B2A-34, 50 Nanyang Avenue
  • Singapore
  • SG
  • Phone: 65 67904808
  • Email: akhgoh@ntu.edu.sg