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Machine Learning Techniques Outperform Conventional Statistical Methods in the Prediction of High Risk QTc Prolongation Related to a Drug-Drug Interaction

Sven Van Laere, Katoo M. Muylle, Alain G. Dupont, Pieter Cornu

2022Journal of Medical Systems20 citationsDOI

Topics & Concepts

QT intervalRandom forestMedicineLogistic regressionProlongationAdaBoostDrugBoosting (machine learning)Machine learningArtificial intelligenceInternal medicineComputer sciencePharmacologySupport vector machineECG Monitoring and AnalysisCardiac electrophysiology and arrhythmiasAtrial Fibrillation Management and Outcomes
Machine Learning Techniques Outperform Conventional Statistical Methods in the Prediction of High Risk QTc Prolongation Related to a Drug-Drug Interaction | Litcius