ArticleJournal of the American Medical Informatics Association : JAMIA2024
A general framework for developing computable clinical phenotype algorithms.
Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Assigning Probable Dementia Status Using Routinely Collected Electronic Health Record Data.Journal of the American Geriatrics Society · 2026Article
- Identifying anaphylaxis using weakly-supervised prediction models and natural language processing.medRxiv : the preprint server for health sciences · 2026Article
- Deterministic Overlapping Multimorbidity Phenotypes for Leakage-Safe EHR Modeling of Incident Cognitive Impairment in All of Us.Journal of interdisciplinary research applied to medicine · 2026Article
- Intradialytic hypotension and hemodynamic phenotypes in children following continuous renal replacement therapy initiation.Pediatric research · 2026Observational
- SHREC: A framework for advancing next-generation computational phenotyping with large language models.PLOS digital health · 2026Article
- Using a participation monitoring database to enhance recruitment in a rare cancer population.Journal of clinical and translational science · 2026Article
- Machine-learning approach uncovers hemodynamic-driven phenotypes in cardiac surgery by clustering multimodal, high-dimensional perioperative data.International journal of surgery (London, England) · 2025Article
- Unsupervised Coverage Sampling to Enhance Clinical Chart Review Coverage for Computable Phenotype Development: Simulation and Empirical Study.JMIR medical informatics · 2025Article
- What does 'complex' mean for the general medicine team? Exploring the characteristics, outcomes and clinician perspectives of complex patients: an observational cohort and cross-sectional survey.Internal medicine journal · 2025Observational
- Development and validation of a computable phenotype for adolescent idiopathic scoliosis.Learning health systems · 2025Article
- SHREC: A Framework for Advancing Next-Generation Computational Phenotyping with Large Language Models.ArXiv · 2025Article
- Lightweight Language Models are Prone to Reasoning Errors for Complex Computational Phenotyping Tasks.ArXiv · 2025Article
- A phenotyping algorithm for classification of single ventricle physiology using electronic health records.JAMIA open · 2025Article
- Observational study of sudden cardiac arrest risk (OSCAR): Rationale and design of an electronic health records cohort.International journal of cardiology. Heart & vasculature · 2025Article
- Standards and frameworks.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- PHEONA: An Evaluation Framework for Large Language Model-based Approaches to Computational Phenotyping.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo present a general framework providing high-level guidance to developers of computable algorithms for identifying patients with specific clinical conditions (phenotypes) through a variety of approaches, including but not limited to machine learning and natural language processing methods to incorporate rich electronic health record data. MATERIALS AND
methodsDrawing on extensive prior phenotyping experiences and insights derived from 3 algorithm development projects conducted specifically for this purpose, our team with expertise in clinical medicine, statistics, informatics, pharmacoepidemiology, and healthcare data science methods conceptualized stages of development and corresponding sets of principles, strategies, and practical guidelines for improving the algorithm development process.
resultsWe propose 5 stages of algorithm development and corresponding principles, strategies, and guidelines: (1) assessing fitness-for-purpose, (2) creating gold standard data, (3) feature engineering, (4) model development, and (5) model evaluation. DISCUSSION AND
conclusionThis framework is intended to provide practical guidance and serve as a basis for future elaboration and extension.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.