The prospect of machine learning in predicting post-lithotripsy outcomes.

Peng, Linjie; Pan, Jinyou; Yang, Ding; Zhong, Wen

Peng, Linjie; Pan, Jinyou; Yang, Ding; Zhong, Wen.

Afiliação

Peng L; Department of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Kangda Road 1, Haizhu District, Guangzhou, 510230, China.
Pan J; Guangdong Key Laboratory of Urology, Guangzhou, China.
Yang D; Guangzhou Institute of Urology, Guangzhou, China.
Zhong W; Department of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Kangda Road 1, Haizhu District, Guangzhou, 510230, China.

World J Urol ; 39(11): 4287-4288, 2021 11.

Article em En | MEDLINE | ID: mdl-32719928

Assuntos

Litotripsia; Aprendizado de Máquina; Cálculos Urinários/terapia; Humanos; Valor Preditivo dos Testes; Resultado do Tratamento

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Litotripsia / Cálculos Urinários / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: World J Urol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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