Your browser doesn't support javascript.
loading
Machine learning-based intradialytic hypotension prediction of patients undergoing hemodialysis: A multicenter retrospective study.
Dong, Jingjing; Wang, Kang; He, Jingquan; Guo, Qi; Min, Haodi; Tang, Donge; Zhang, Zeyu; Zhang, Cantong; Zheng, Fengping; Li, Yixi; Xu, Huixuan; Wang, Gang; Luan, Shaodong; Yin, Lianghong; Zhang, Xinzhou; Dai, Yong.
Afiliação
  • Dong J; Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Jinan University, Shenzhen 518020, China; Institute of Nephrology and Blood Purification, the First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510630, Chin
  • Wang K; Department of Nephrology, the Second Affiliated Hospital of Jinan University, Shenzhen People's Hospital, Jinan University, Shenzhen 518020, China.
  • He J; Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Jinan University, Shenzhen 518020, China.
  • Guo Q; Shenzhen Yuchen Medical Technology Co., Ltd. Co., Ltd, Shenzhen 518020, China.
  • Min H; Shenzhen Yuchen Medical Technology Co., Ltd. Co., Ltd, Shenzhen 518020, China.
  • Tang D; Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Jinan University, Shenzhen 518020, China.
  • Zhang Z; Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Jinan University, Shenzhen 518020, China; Institute of Nephrology and Blood Purification, the First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510630, Chin
  • Zhang C; Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Jinan University, Shenzhen 518020, China.
  • Zheng F; Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Jinan University, Shenzhen 518020, China.
  • Li Y; Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Jinan University, Shenzhen 518020, China; Institute of Nephrology and Blood Purification, the First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510630, Chin
  • Xu H; Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Jinan University, Shenzhen 518020, China.
  • Wang G; Department of Nephrology, University of Chinese Academy of Sciences Shenzhen Hospital (Guangming), Shenzhen 518020, China.
  • Luan S; Departments of Nephrology, Shenzhen Longhua District Central Hospital, Shenzhen 518020, China.
  • Yin L; Institute of Nephrology and Blood Purification, the First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510630, China. Electronic address: yin-yun@126.com.
  • Zhang X; Department of Nephrology, the Second Affiliated Hospital of Jinan University, Shenzhen People's Hospital, Jinan University, Shenzhen 518020, China. Electronic address: xinzhouzhang1946@163.com.
  • Dai Y; Clinical Medical Research Center, the Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Jinan University, Shenzhen 518020, China. Electronic address: daiyong22@aliyun.com.
Comput Methods Programs Biomed ; 240: 107698, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37429246

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hipertensão / Falência Renal Crônica Tipo de estudo: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hipertensão / Falência Renal Crônica Tipo de estudo: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article
...