The perils of premature phenotyping in COVID-19: a call for caution
Lieuwe D. J. Bos, Pratik Sinha, Robert P. Dickson
Abstract
By prematurely phenotyping patients with COVID-19, we and our patients are exposed to considerable and preventable risk. If data-driven phenotypes are not insisted upon, our cognitive biases guarantee that we'll end up with phenotype-driven data. https://bit.
Topics & Concepts
MedicineCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PhenotypeIntensive care medicineVirologyInternal medicineGeneticsDiseaseOutbreakInfectious disease (medical specialty)GeneBiologyMachine Learning in HealthcareRespiratory Support and MechanismsClinical Reasoning and Diagnostic Skills