Prediction modeling-part 2: using machine learning strategies to improve transplantation outcomes.

Coorey, Craig Peter; Sharma, Ankit; Muller, Samuel; Yang, Jean Yee Hwa

Coorey, Craig Peter; Sharma, Ankit; Muller, Samuel; Yang, Jean Yee Hwa.

Afiliação

Coorey CP; Centre for Kidney Research, Children's Hospital at Westmead, Westmead, New South Wales, Australia; Liverpool Hospital, South Western Sydney Clinical School, University of New South Wales and Western Sydney University, Sydney, New South Wales, Australia. Electronic address: c.coorey@unsw.edu.au.
Sharma A; Centre for Kidney Research, Children's Hospital at Westmead, Westmead, New South Wales, Australia; Department of Renal Medicine, Westmead Hospital, Westmead, New South Wales, Australia; School of Public Health, Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia.
Muller S; School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia; Department of Mathematics and Statistics, Macquarie University, New South Wales, Australia.
Yang JYH; School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Center, The University of Sydney, Sydney, New South Wales, Australia.

Kidney Int ; 99(4): 817-823, 2021 04.

Article em En | MEDLINE | ID: mdl-32916179

Assuntos

Transplante de Rim; Aprendizado de Máquina; Humanos; Transplante de Rim/efeitos adversos; Transplantados

Palavras-chave

kidney; machine learning; supervised; transplantation; unsupervised

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Transplante de Rim / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Kidney Int Ano de publicação: 2021 Tipo de documento: Article

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