Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis
BackgroundDrug-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 risk...
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| Main Authors: | , , , |
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| Format: | Book |
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JMIR Publications,
2022-12-01T00:00:00Z.
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |