Machine learning-based prediction model and visual interpretation for prostate cancer.

Chen, Gang; Dai, Xuchao; Zhang, Mengqi; Tian, Zhujun; Jin, Xueke; Mei, Kun; Huang, Hong; Wu, Zhigang

Chen, Gang; Dai, Xuchao; Zhang, Mengqi; Tian, Zhujun; Jin, Xueke; Mei, Kun; Huang, Hong; Wu, Zhigang.

Afiliación

Chen G; School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China.
Dai X; School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China.
Zhang M; School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China.
Tian Z; School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China.
Jin X; School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China.
Mei K; School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China.
Huang H; Center for Health Assessment, Wenzhou Medical University, Wenzhou, 325035, China. Huanghongpanda@163.com.
Wu Z; Zhejiang Provincial Key Laboratory of Watershed Sciences and Health, Wenzhou, 325035, China. Huanghongpanda@163.com.

BMC Urol ; 23(1): 164, 2023 Oct 14.

Article en En | MEDLINE | ID: mdl-37838656

Asunto(s)

Hiperplasia Prostática; Neoplasias de la Próstata; Masculino; Humanos; Antígeno Prostático Específico; Hiperplasia Prostática/diagnóstico; Estudios Retrospectivos; LDL-Colesterol

Palabras clave

Biochemical parameters; Machine learning; Prostate cancer; Risk threshold; Shapley values

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hiperplasia Prostática / Neoplasias de la Próstata Límite: Humans / Male Idioma: En Revista: BMC Urol Asunto de la revista: UROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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