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

Machine Learning (2261) Clinical Information and Decision Making (2105) Cost-Effectiveness and Economics (381) Advanced Data Analytics in eHealth (240) Big Data Analytics for Elder Care (46) Artificial Intelligence (2398)

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
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Journals

  1. Chin D, Sia W, Lv Y, Angelina E, Teo T, Tan H, Wong D, Tong A, Tan E, Abdullah H. Implementing value-based care for outpatient conditions in an Asian public healthcare system: framework and case studies from Singapore General Hospital. Frontiers in Public Health 2026;14 View