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

Methods and Feasibility Studies (383) Clinical Information and Decision Making (1423) Electronic Health Records (1065) Decision Support for Health Professionals (1199) Machine Learning (1485) Clinical Informatics (1042) Secondary Use of Clinical Data for Research and Surveillance (373) Artificial Intelligence (1400)

Published on in Vol 11, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34201, first published .
Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation

Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation

Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation

Authors of this article:

Nan Liu1, 2, 3, 4 Author Orcid Image ;   Feng Xie1 Author Orcid Image ;   Fahad Javaid Siddiqui1 Author Orcid Image ;   Andrew Fu Wah Ho1, 5 Author Orcid Image ;   Bibhas Chakraborty1, 6, 7 Author Orcid Image ;   Gayathri Devi Nadarajan5 Author Orcid Image ;   Kenneth Boon Kiat Tan5 Author Orcid Image ;   Marcus Eng Hock Ong1, 4, 5 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Nan Liu   1, 2, 3, 4 , PhD ;   Feng Xie   1 , BSc ;   Fahad Javaid Siddiqui   1 , MBBS, MSc ;   Andrew Fu Wah Ho   1, 5 , MBBS, MPH ;   Bibhas Chakraborty   1, 6, 7 , PhD ;   Gayathri Devi Nadarajan   5 , MBBS ;   Kenneth Boon Kiat Tan   5 , MBBS ;   Marcus Eng Hock Ong   1, 4, 5 , MBBS, MPH

1 Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore

2 Institute of Data Science, National University of Singapore, Singapore, Singapore

3 SingHealth AI Health Program, Singapore Health Services, Singapore, Singapore

4 Health Service Research Centre, Singapore Health Services, Singapore, Singapore

5 Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore

6 Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore

7 Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States

Corresponding Author:

  • Nan Liu, PhD
  • Programme in Health Services and Systems Research
  • Duke-NUS Medical School
  • 8 College Road
  • Singapore, 169857
  • Singapore
  • Phone: 65 66016503
  • Email: liu.nan@duke-nus.edu.sg