Prediction of premature all-cause mortality in patients receiving peritoneal dialysis using modified artificial neural networks-Reference-Cited by-同舟云学术

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Prediction of premature all-cause mortality in patients receiving peritoneal dialysis using modified artificial neural networks

Published:2021-05-13 Issue:10 Volume:13 Page:14170-14184
ISSN:1945-4589
Container-title:Aging
language:en
Short-container-title:Aging

Author:

Zhou Qiongxiu¹,You Xiaohan²,Dong Haiyan³,Lin Zhe¹,Shi Yanling¹,Su Zhen¹,Shao Rongrong¹,Chen Chaosheng¹,Zhang Ji¹

Affiliation:

1. Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China

2. Department of Nephrology, The First Affiliated Hospital of Soochow University, Jiangsu, P.R. China

3. Department of Nephrology, Longgang Renmin Hospital, Wenzhou, Zhejiang, P.R. China

Publisher

Impact Journals, LLC

Subject

Cell Biology,Aging

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence and machine learning in peritoneal dialysis: a systematic review of clinical outcomes and predictive modeling;International Urology and Nephrology;2024-07-06

2. Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients;Patterns;2023-12

3. Early predicting 30-day mortality in sepsis in MIMIC-III by an artificial neural networks model;European Journal of Medical Research;2022-12-17

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