ArticleJournal of the American Medical Informatics Association : JAMIA2021
A high-throughput phenotyping algorithm is portable from adult to pediatric populations.
Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Automated phenotyping of congenital heart disease for dynamic patient aggregation and outcome reporting.JAMIA open · 2025Article
- Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features.Journal of the American Statistical Association · 2025Article
- Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Machine learning approaches for electronic health records phenotyping: a methodical review.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Progress toward a science of learning systems for healthcare.Journal of the American Medical Informatics Association : JAMIA · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveMultimodal automated phenotyping (MAP) is a scalable, high-throughput phenotyping method, developed using electronic health record (EHR) data from an adult population. We tested transportability of MAP to a pediatric population. MATERIALS AND
methodsWithout additional feature engineering or supervised training, we applied MAP to a pediatric population enrolled in a biobank and evaluated performance against physician-reviewed medical records. We also compared performance of MAP at the pediatric institution and the original adult institution where MAP was developed, including for 6 phenotypes validated at both institutions against physician-reviewed medical records.
resultsMAP performed equally well in the pediatric setting (average AUC 0.98) as it did at the general adult hospital system (average AUC 0.96). MAP's performance in the pediatric sample was similar across the 6 specific phenotypes also validated against gold-standard labels in the adult biobank.
conclusionsMAP is highly transportable across diverse populations and has potential for wide-scale use.
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Registered trials
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