Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study.

Zeng, Siyang; Arjomandi, Mehrdad; Tong, Yao; Liao, Zachary C; Luo, Gang

Zeng, Siyang; Arjomandi, Mehrdad; Tong, Yao; Liao, Zachary C; Luo, Gang.

Afiliação

Zeng S; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States.
Arjomandi M; Medical Service, San Francisco Veterans Affairs Medical Center, San Francisco, CA, United States.
Tong Y; Department of Medicine, University of California, San Francisco, CA, United States.
Liao ZC; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States.
Luo G; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States.

J Med Internet Res ; 24(1): e28953, 2022 01 06.

Article em En | MEDLINE | ID: mdl-34989686

Assuntos

Doença Pulmonar Obstrutiva Crônica; Progressão da Doença; Humanos; Aprendizado de Máquina; Doença Pulmonar Obstrutiva Crônica/diagnóstico; Doença Pulmonar Obstrutiva Crônica/terapia; Curva ROC; Estudos Retrospectivos

Palavras-chave

chronic obstructive pulmonary disease; forecasting; machine learning; patient care management; symptom exacerbation

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença Pulmonar Obstrutiva Crônica Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google