Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis

BACKGROUND: Drug-induced long-QT syndrome (diLQTS) is a major concern among patients who are hospitalized, for whom prediction models capable of identifying individualized risk could be useful to guide monitoring. We have previously demonstrated the feasibility of machine learning to predict the ris...

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Detalles Bibliográficos
Autores principales: Simon, Steven T, Trinkley, Katy E, Malone, Daniel C, Rosenberg, Michael Aaron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756119/
https://www.ncbi.nlm.nih.gov/pubmed/36454608
http://dx.doi.org/10.2196/42163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756119/
https://www.ncbi.nlm.nih.gov/pubmed/36454608
http://dx.doi.org/10.2196/42163

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