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

Letters (85) JMIR Theme Issue: COVID-19 Special Issue (2391) Artificial Intelligence (1198) Clinical Information and Decision Making (1328) Big Data (219) Decision Support for Health Professionals (1137) Electronic Health Records (966) Natural Language Processing (644) Theme Issue: Medical Informatics and COVID-19 (103) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Intensive Care Unit (ICU) (101) Validity, Reliability, and Bias (89)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27142, first published .
Minimizing Selection and Classification Biases. Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”

Minimizing Selection and Classification Biases. Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”

Minimizing Selection and Classification Biases. Comment on “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:

Francisco Martos Pérez1 Author Orcid Image ;   Ricardo Gomez Huelgas2 Author Orcid Image ;   María Dolores Martín Escalante1 Author Orcid Image ;   José Manuel Casas Rojo3 Author Orcid Image
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