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".

Martos Pérez, Francisco; Gomez Huelgas, Ricardo; Martín Escalante, María Dolores; Casas Rojo, José Manuel

Martos Pérez, Francisco; Gomez Huelgas, Ricardo; Martín Escalante, María Dolores; Casas Rojo, José Manuel.

Martos Pérez F; Department of Internal Medicine, Hospital Costa del Sol, Marbella, Spain.
Gomez Huelgas R; Internal Medicine Department, Hospital Regional de Málaga, Málaga, Spain.
Martín Escalante MD; Department of Internal Medicine, Hospital Costa del Sol, Marbella, Spain.
Casas Rojo JM; Internal Medicine Department, Infanta Cristina University Hospital, Parla (Madrid), Spain.

J Med Internet Res ; 23(5): e27142, 2021 05 26.

Article in English | MEDLINE | ID: covidwho-1229127

Subject(s)

COVID-19; Natural Language Processing; Bias; Humans; Intensive Care Units; Machine Learning; Prognosis; Retrospective Studies; SARS-CoV-2

Keywords

COVID-19; SARS-CoV-2; artificial intelligence; big data; classification bias; critical care; electronic health records; predictive model; prognosis; tachypnea

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Natural Language Processing / COVID-19 Type of study: Observational study / Prognostic study / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 27142

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