Real-World Effectiveness of Lung Cancer Screening Using Deep Learning-Based Counterfactual Prediction.

Feng, Zheng; Chen, Zhaoyi; Guo, Yi; Prosperi, Mattia; Mehta, Hiren; Braithwaite, Dejana; Wu, Yonghui; Bian, Jiang

Feng, Zheng; Chen, Zhaoyi; Guo, Yi; Prosperi, Mattia; Mehta, Hiren; Braithwaite, Dejana; Wu, Yonghui; Bian, Jiang.

Afiliação

Feng Z; Cancer Informatics Share Resource, University of Florida Health Cancer Center, Gainesville, FL, USA.
Chen Z; Cancer Informatics Share Resource, University of Florida Health Cancer Center, Gainesville, FL, USA.
Guo Y; Cancer Informatics Share Resource, University of Florida Health Cancer Center, Gainesville, FL, USA.
Prosperi M; Department of Epidemiology, University of Florida, Gainesville, FL, USA.
Mehta H; Department of Medicine, University of Florida, Gainesville, FL, USA.
Braithwaite D; Department of Epidemiology, University of Florida, Gainesville, FL, USA.
Wu Y; Department of Medicine, University of Florida, Gainesville, FL, USA.
Bian J; Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.

Stud Health Technol Inform ; 310: 419-423, 2024 Jan 25.

Article em En | MEDLINE | ID: mdl-38269837

Assuntos

Aprendizado Profundo; Neoplasias Pulmonares; Humanos; Detecção Precoce de Câncer; Neoplasias Pulmonares/diagnóstico; Fatores de Risco

Palavras-chave

Causal effect estimation; counterfactual; deep learning; real-world data

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform Ano de publicação: 2024 Tipo de documento: Article

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