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

Machine Learning (2182) Clinical Information and Decision Making (2013) Artificial Intelligence (2259) Big Data Analytics for Elder Care (42) Advanced Data Analytics in eHealth (227) Cost-Effectiveness and Economics (368)

Published on in Vol 14 (2026)

Ensemble Machine Learning Models for Predicting Patients With High Usage: Model Validation and Economic Impact Analysis

Ensemble Machine Learning Models for Predicting Patients With High Usage: Model Validation and Economic Impact Analysis

Ensemble Machine Learning Models for Predicting Patients With High Usage: Model Validation and Economic Impact Analysis

Authors of this article:

Joshua Kuan Tan1 Author Orcid Image ;   Le Quan2 Author Orcid Image ;   Hao Yi Tan1 Author Orcid Image ;   Su-Yen Goh3 Author Orcid Image ;   Julian Thumboo1 Author Orcid Image ;   Marianne Au4 Author Orcid Image ;   Yong Mong Bee5 Author Orcid Image ;   Jen Hong Tan2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Joshua Kuan Tan   1 * , MSc, MBBS ;   Le Quan   2 * , MSc ;   Hao Yi Tan   1 * , MPH, MD ;   Su-Yen Goh   3 * , MBBS ;   Julian Thumboo   1 * , MBBS ;   Marianne Au   4 * , BBus ;   Yong Mong Bee   5 * , MBBS ;   Jen Hong Tan   2 * , PhD

1 Health Services Research Unit, Singapore General Hospital, Singapore, Singapore

2 Data Science and Artificial Intelligence Laboratory, Singapore General Hospital, Singapore, Singapore

3 Future Health Systems Department, Singapore General Hospital, Singapore, Singapore

4 Group Finance, SingHealth, Singapore, Singapore

5 Department of Endocrinology, Singapore General Hospital, Singapore, Singapore

*all authors contributed equally

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