Litcius/Paper detail

Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation

Juan Lü, R. Hutchens, Joseph Hung, Mohammed Bennamoun, B. McQuillan, Tom Briffa, Ferdous Sohel, Kevin Murray, Jonathon Stewart, Benjamin J.W. Chow, Frank Sanfilippo, Girish Dwivedi

2022Computers in Biology and Medicine37 citationsDOI

Topics & Concepts

MedicineAtrial fibrillationStroke (engine)Internal medicineCohortRisk stratificationCardiologyMachine learningComputer scienceMechanical engineeringEngineeringAtrial Fibrillation Management and OutcomesImbalanced Data Classification TechniquesMachine Learning in Healthcare
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation | Litcius