The myth of generalisability in clinical research and machine learning in health care
Joseph Futoma, Morgan Simons, Trishan Panch, Finale Doshi‐Velez, Leo Anthony Celi
Abstract
An emphasis on overly broad notions of generalisability as it pertains to applications of machine learning in health care can overlook situations in which machine learning might provide clinical utility. We believe that this narrow focus on generalisability should be replaced with wider considerations for the ultimate goal of building machine learning systems that are useful at the bedside.
Topics & Concepts
Health careFocus (optics)Artificial intelligenceComputer scienceMachine learningRisk analysis (engineering)Management sciencePsychologyEngineering ethicsMedicineEngineeringPolitical scienceOpticsLawPhysicsMachine Learning in HealthcareSepsis Diagnosis and TreatmentClinical Reasoning and Diagnostic Skills