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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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JMIR Publications
2022
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| Materias: | |
| 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 |