Machine learning and deep learning predictive models for long-term prognosis in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis.

Smith, Luke A; Oakden-Rayner, Lauren; Bird, Alix; Zeng, Minyan; To, Minh-Son; Mukherjee, Sutapa; Palmer, Lyle J

Smith, Luke A; Oakden-Rayner, Lauren; Bird, Alix; Zeng, Minyan; To, Minh-Son; Mukherjee, Sutapa; Palmer, Lyle J.

Afiliación

Smith LA; Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia; School of Public Health, University of Adelaide, Adelaide, SA, Australia. Electronic address: luke.a.smith@adelaide.edu.au.
Oakden-Rayner L; Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia; School of Public Health, University of Adelaide, Adelaide, SA, Australia.
Bird A; Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia; School of Public Health, University of Adelaide, Adelaide, SA, Australia.
Zeng M; Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia; School of Public Health, University of Adelaide, Adelaide, SA, Australia.
To MS; Health Data and Clinical Trials, Flinders University, Bedford Park, SA, Australia; South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia.
Mukherjee S; Department of Respiratory and Sleep Medicine, Southern Adelaide Local Health Network (SALHN), Bedford Park, SA, Australia; Adelaide Institute for Sleep Health/Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia.
Palmer LJ; Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia; School of Public Health, University of Adelaide, Adelaide, SA, Australia.

Lancet Digit Health ; 5(12): e872-e881, 2023 12.

Article en En | MEDLINE | ID: mdl-38000872

Asunto(s)

Aprendizaje Profundo; Enfermedad Pulmonar Obstructiva Crónica; Adulto; Humanos; Reproducibilidad de los Resultados; Calidad de Vida; Enfermedad Pulmonar Obstructiva Crónica/diagnóstico; Pronóstico

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad Pulmonar Obstructiva Crónica / Aprendizaje Profundo Tipo de estudio: Systematic_reviews Límite: Adult / Humans Idioma: En Revista: Lancet Digit Health Año: 2023 Tipo del documento: Article

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