Article

Develop and Validate A Fair Machine Learning Model to Indentify Patients with High Care-Continuity in Electronic Health Records Data

2025-11-13

Abstract excerpt

<h4>Objectives</h4> Electronic health record (EHR) data often missed care outside a given health system, resulting in data discontinuity. We aimed to: (1) quantify misclassification across levels of EHR data discontinuity and identify an optimal continuity threshold. (2) develop a machine learning (ML) model to predict EHR continuity and optimize fairness across racial and ethnic groups, and (3) externally valida...

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Literature Corpus work: 4cd89175-2ac5-5104-aaa4-4997a1eb9a74
DOI: 10.1101/2025.11.11.25339938

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