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MLP-CKD: a clinically informed deep learning framework for admission laboratory-based screening and risk stratification of uremia-associated advanced renal dysfunction.

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Title: MLP-CKD: a clinically informed deep learning framework for admission laboratory-based screening and risk stratification of uremia-associated advanced renal dysfunction.
Authors: Chen X; Department of Nephrology, Pujiang County People's Hospital, Jinhua, Zhejiang, China., Yang H; The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.; Department of Nephrology, Zhejiang University School of Medicine, Hangzhou, China., Huang Y; Department of Nephrology, Pujiang County People's Hospital, Jinhua, Zhejiang, China., Jin W; Department of Nephrology, Pujiang County People's Hospital, Jinhua, Zhejiang, China., Zhu X; Department of Nephrology, Pujiang County People's Hospital, Jinhua, Zhejiang, China., Zhao J; Department of Nephrology, Pujiang County People's Hospital, Jinhua, Zhejiang, China., Huang X; Department of Nephrology, Pujiang County People's Hospital, Jinhua, Zhejiang, China.
Source: Frontiers in public health [Front Public Health] 2026 Jun 09; Vol. 14, pp. 1858083. Date of Electronic Publication: 2026 Jun 09 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Chen+X%22">Chen X</searchLink>; Department of Nephrology, Pujiang County People's Hospital, Jinhua, Zhejiang, China.<br /><searchLink fieldCode="AU" term="%22Yang+H%22">Yang H</searchLink>; The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.; Department of Nephrology, Zhejiang University School of Medicine, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Huang+Y%22">Huang Y</searchLink>; Department of Nephrology, Pujiang County People's Hospital, Jinhua, Zhejiang, China.<br /><searchLink fieldCode="AU" term="%22Jin+W%22">Jin W</searchLink>; Department of Nephrology, Pujiang County People's Hospital, Jinhua, Zhejiang, China.<br /><searchLink fieldCode="AU" term="%22Zhu+X%22">Zhu X</searchLink>; Department of Nephrology, Pujiang County People's Hospital, Jinhua, Zhejiang, China.<br /><searchLink fieldCode="AU" term="%22Zhao+J%22">Zhao J</searchLink>; Department of Nephrology, Pujiang County People's Hospital, Jinhua, Zhejiang, China.<br /><searchLink fieldCode="AU" term="%22Huang+X%22">Huang X</searchLink>; Department of Nephrology, Pujiang County People's Hospital, Jinhua, Zhejiang, China.
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  Data: <searchLink fieldCode="JN" term="%22101616579%22">Frontiers in public health</searchLink> [Front Public Health] 2026 Jun 09; Vol. 14, pp. 1858083. <i>Date of Electronic Publication: </i>2026 Jun 09 (<i>Print Publication: </i>2026).
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        Value: 10.3389/fpubh.2026.1858083
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      – TitleFull: MLP-CKD: a clinically informed deep learning framework for admission laboratory-based screening and risk stratification of uremia-associated advanced renal dysfunction.
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              Text: 2026 Jun 09
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