Abstract
NA.
Highlights
Francisco Martos Pérez1, MD, PhD; Ricardo Gomez Huelgas2, MD, PhD; María Dolores Martín Escalante1, MD, PhD; José Manuel Casas Rojo3, MD
The paper by Izquierdo et al [1], published in the recent issue of the Journal of Medical Internet Research, employed a combination of conventional and machine learning tools to describe the clinical characteristics of patients with COVID-19 and the factors that predict intensive care unit (ICU) admission
ICU admissions are related to many factors not addressed in the study
Summary
Francisco Martos Pérez1, MD, PhD; Ricardo Gomez Huelgas2, MD, PhD; María Dolores Martín Escalante1, MD, PhD; José Manuel Casas Rojo3, MD. Corresponding Author: Francisco Martos Pérez, MD, PhD Department of Internal Medicine Hospital Costa del Sol Autovía A-7, Km 187 Marbella, 29603 Spain Phone: 34 658927715 Email: pacomartos1@gmail.com Artificial intelligence; big data; COVID-19; electronic health records; tachypnea; SARS-CoV-2; predictive model; prognosis; classification bias; critical care
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
