Priyanka Iyer, Valerie Mok, Arjan Singh Sehmbi, Nicos Kessaris, Rhana Zakri, Prokar Dasgupta, Pankaj Chandak
Online versus in-person surgical near-peer teaching in undergraduate medical education during the COVID-19 pandemic: A mixed-methods study
Health science reports
human pathophysiology occasionally complex unaided hypotheticaldeductive reasoning isolated application additive linear statistical methods clustering algorithms use input data patterns distributions form groups similar patients diseases share distinct properties although clinicians frequently perform tasks may enhanced clustering receive formal training cliniciancentered literature clustering sparse add value clinical care research optimal clustering practices require thorough understanding process optimize data select features weigh strengths weaknesses different clustering methods select optimal clustering method apply clustering methods solve problems concepts suggestions implementing described narrative review published literature clustering methods share weakness finding potential clusters even natural clusters exist underscoring importance applying datadriven techniques well clinical statistical expertise clustering analyses applied properly patient disease phenotype clustering reveal obscured associations help clinicians understand disease pathophysiology predict treatment response identify patients clinical trial enrollment