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Develop and Validate A Fair Machine Learning Model to Indentify Patients with High Care-Continuity in Electronic Health Records Data
2025·0 Zitationen·medRxivOpen Access
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Zitationen
6
Autoren
2025
Jahr
Abstract
We developed a generalizable care-continuity classification tool that can be easily applied across EHR systems, strengthening the rigor of EHR-based research.
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Autoren
Institutionen
- University of Florida(US)
- Tulane University(US)
- Indiana University Health(US)
- Regenstrief Institute(US)
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center
- Indiana University – Purdue University Indianapolis(US)
- Indiana University(US)
- University of Indianapolis(US)
- Purdue University West Lafayette(US)
Themen
Machine Learning in HealthcareArtificial Intelligence in Healthcare and EducationElectronic Health Records Systems