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PhenoFit: a framework for determining computable phenotyping algorithm fitness for purpose and reuse
2025·0 Zitationen·Journal of the American Medical Informatics AssociationOpen Access
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Zitationen
12
Autoren
2025
Jahr
Abstract
The PhenoFit framework provides a structured approach to evaluate and adapt phenotyping algorithms for new contexts increasing efficiency and consistency of identifying patient populations from EHRs.
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Autoren
Institutionen
- Washington University in St. Louis(US)
- Northwestern University(US)
- Heidelberg University(DE)
- University Hospital Heidelberg(DE)
- Strategic Insight (United States)(US)
- New York Life Insurance Company (United States)(US)
- Mayo Clinic in Arizona(US)
- Mayo Clinic in Florida(US)
- University of Colorado Anschutz Medical Campus(US)
- King's College London(GB)
- University of Arizona(US)
- University of Michigan(US)
Themen
Machine Learning in HealthcareArtificial Intelligence in Healthcare and EducationElectronic Health Records Systems