Developing and validating a machine learning prognostic model for alerting to imminent deterioration of hospitalized patients with COVID-19

Abstract Our study was aimed at developing and validating a new approach, embodied in a machine learning-based model, for sequentially monitoring hospitalized COVID-19 patients and directing professional attention to patients whose deterioration is imminent. Model development employed real-world pat...

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Bibliographic Details
Main Authors: Yuri Kogan, Ari Robinson, Edward Itelman, Yeonatan Bar-Nur, Daniel Jorge Jakobson, Gad Segal, Zvia Agur
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-23553-7