Machine learning to assist clinical decision-making during the COVID-19 pandemic.
Shubham DebnathDouglas P BarnabyKevin CoppaAlexander MakhnevichEun Ji KimSaurav ChatterjeeViktor TóthTodd J LevyMarc D ParadisStuart L CohenJamie S HirschTheodoros P Zanosnull nullPublished in: Bioelectronic medicine (2020)
This perspective highlights the utility of evidence-based prediction tools in a number of clinical settings, and how similar models can be deployed during the COVID-19 pandemic to guide hospital frontlines and healthcare administrators to make informed decisions about patient care and managing hospital volume.