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Article

PheValuator 2.0: Methodological improvements for the PheValuator approach to semi-automated phenotype algorithm evaluation.

Journal of biomedical informatics - 1 Nov 2022

Swerdel Joel N, Schuemie Martijn, Murray Gayle, Ryan Patrick B

Abstract excerpt

PURPOSE: Phenotype algorithms are central to performing analyses using observational data. These algorithms translate the clinical idea of a health condition into an executable set of rules allowing for queries of data elements from a database. PheValuator, a software package in the Observational Health Data Sciences and Informatics (OHDSI) tool stack, provides a method to assess the performance characteristics...

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Algorithms
Databases, Factual
Machine Learning
Phenotype
Reproducibility of Results

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 35995107
DOI: 10.1016/j.jbi.2022.104177

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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