Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review.

Burnett, Bruce; Zhou, Shang-Ming; Brophy, Sinead; Davies, Phil; Ellis, Paul; Kennedy, Jonathan; Bandyopadhyay, Amrita; Parker, Michael; Lyons, Ronan A

Burnett, Bruce; Zhou, Shang-Ming; Brophy, Sinead; Davies, Phil; Ellis, Paul; Kennedy, Jonathan; Bandyopadhyay, Amrita; Parker, Michael; Lyons, Ronan A.

Afiliação

Burnett B; Swansea University Medical School, Swansea SA2 8PP, UK.
Zhou SM; Faculty of Health, University of Plymouth, Plymouth PL4 8AA, UK.
Brophy S; Swansea University Medical School, Swansea SA2 8PP, UK.
Davies P; Clinithink Ltd., Bridgend CF31 1LH, UK.
Ellis P; Clinithink Ltd., Bridgend CF31 1LH, UK.
Kennedy J; Swansea University Medical School, Swansea SA2 8PP, UK.
Bandyopadhyay A; Swansea University Medical School, Swansea SA2 8PP, UK.
Parker M; Swansea University Medical School, Swansea SA2 8PP, UK.
Lyons RA; Swansea University Medical School, Swansea SA2 8PP, UK.

Diagnostics (Basel) ; 13(2)2023 Jan 13.

Article em En | MEDLINE | ID: mdl-36673111

Palavras-chave

colorectal cancer; machine learning; risk prediction; scoping review

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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