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Machine Learning To Assist Clinical Decision-Making During The Covid-19 Pandemic., S. Debnath, D. P. Barnaby, K. Coppa, A. Makhnevich, E. J. Kim, S. Chatterjee, V. Tóth, T. J. Levy, M. D. Paradis, S. L. Cohen, J. S. Hirsch, T. P. Zanos, Northwell Covid-19 Research Consortium

Journal Articles

Background:The number of cases from the coronavirus disease 2019 (COVID-19) global pandemic has overwhelmed existing medical facilities and forced clinicians, patients, and families to make pivotal decisions with limited time and information. Main body:While machine learning (ML) methods have been previously used to augment clinical decisions, there is now a demand for "Emergency ML." Throughout the patient care pathway, there are opportunities for ML-supported decisions based on collected vitals, laboratory results, medication orders, and comorbidities. With rapidly growing datasets, there also remain important considerations when developing and validating ML models. Conclusion:This perspective highlights the utility of evidence-based prediction tools in …