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Article

Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms.

Journal of the American Medical Informatics Association : JAMIA - 16 Feb 2024

Gao Jianhui, Bonzel Clara-Lea, Hong Chuan, Varghese Paul, Zakir Karim, Gronsbell Jessica

Abstract excerpt

OBJECTIVE: High-throughput phenotyping will accelerate the use of electronic health records (EHRs) for translational research. A critical roadblock is the extensive medical supervision required for phenotyping algorithm (PA) estimation and evaluation. To address this challenge, numerous weakly-supervised learning methods have been proposed. However, there is a paucity of methods for reliably evaluating the...

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Identifiers

PMID: 38128118
DOI: 10.1093/jamia/ocad226
PMCID: PMC10873838

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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