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A machine learning model on Real World Data for predicting progression to Acute Respiratory Distress Syndrome (ARDS) among COVID-19 patients
Author(s) -
Nicola Lazzarini,
Avgoustinos Filippoupolitis,
Pedro Manzione,
Hariklia Eleftherohorinou
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0271227
Subject(s) - ards , medicine , machine learning , cohort , acute respiratory distress , artificial intelligence , covid-19 , medical diagnosis , decision tree , intensive care medicine , emergency medicine , disease , computer science , pathology , infectious disease (medical specialty) , lung

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