This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (1576) Artificial Intelligence (450) Clinical Information and Decision Making (686) Big Data (143) Decision Support for Health Professionals (566) Electronic Health Records (617) Natural Language Processing (379) Theme Issue: Medical Informatics and COVID-19 (88) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1144) Intensive Care Unit (ICU) (80)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2020.05.22.20109959v1 , first published .
Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing

Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing

Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing

Authors of this article:

Jose Luis Izquierdo 1 Author Orcid Image ;   Julio Ancochea 2 Author Orcid Image ;   Savana COVID-19 Research Group 3 ;   Joan B Soriano 2 Author Orcid Image
Article Authors Cited by (18) Tweetations (83) Metrics
Jose Luis Izquierdo 1, MD;  Julio Ancochea 2, MD;   Savana COVID-19 Research Group 3;  Joan B Soriano 2, MD, PhD

1 Hospital Universitario de Guadalajara , Guadalajara , ES

2 Hospital Universitario de La Princesa , Madrid , ES

3 Savana , Madrid , ES

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