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Comparison of machine learning models for hemoglobin prediction in patients undergoing maintenance hemodialysis.

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Title: Comparison of machine learning models for hemoglobin prediction in patients undergoing maintenance hemodialysis.
Authors: Xie T; Department of Nephrology, The First Afliated Hospital of Jinan University, Guangzhou, China., Su X; Department of Nephrology, The First Afliated Hospital of Jinan University, Guangzhou, China.; Department of Nephrology, Dongguan Tungwah Hospital, Dongguan, China., Yun C; Charité -Universitätsmedizin Berlin, Berlin, Germany.; Guangzhou Institute of Technology, Xidian University, Guangzhou, China., Tang X; Department of Nephrology, The First Afliated Hospital of Jinan University, Guangzhou, China.; Department of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China., Zheng X; Clinical Medical Research Center, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology, The Second Clinical Medical College, Jinan University), Shenzhen, China., Dong J; Department of General Medicine, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China., Guo Q; Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China., Zhu S; Guangzhou Institute of Technology, Xidian University, Guangzhou, China., Tang D; Clinical Medical Research Center, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology, The Second Clinical Medical College, Jinan University), Shenzhen, China., Dai Y; Clinical Medical Research Center, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology, The Second Clinical Medical College, Jinan University), Shenzhen, China.; The First Affiliated Hospital, School of Medicine, Anhui University of Science and Technology, Huainan, China., Yin L; Department of Nephrology, The First Afliated Hospital of Jinan University, Guangzhou, China.; Guangzhou Enttxs Medical Products Co., Ltd., Guangzhou, China.
Source: Frontiers in molecular biosciences [Front Mol Biosci] 2026 Feb 20; Vol. 13, pp. 1746108. Date of Electronic Publication: 2026 Feb 20 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101653173 Publication Model: eCollection Cited Medium: Print ISSN: 2296-889X (Print) Linking ISSN: 2296889X NLM ISO Abbreviation: Front Mol Biosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Comparison of machine learning models for hemoglobin prediction in patients undergoing maintenance hemodialysis.
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  Data: <searchLink fieldCode="AU" term="%22Xie+T%22">Xie T</searchLink>; Department of Nephrology, The First Afliated Hospital of Jinan University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Su+X%22">Su X</searchLink>; Department of Nephrology, The First Afliated Hospital of Jinan University, Guangzhou, China.; Department of Nephrology, Dongguan Tungwah Hospital, Dongguan, China.<br /><searchLink fieldCode="AU" term="%22Yun+C%22">Yun C</searchLink>; Charité -Universitätsmedizin Berlin, Berlin, Germany.; Guangzhou Institute of Technology, Xidian University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Tang+X%22">Tang X</searchLink>; Department of Nephrology, The First Afliated Hospital of Jinan University, Guangzhou, China.; Department of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Zheng+X%22">Zheng X</searchLink>; Clinical Medical Research Center, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology, The Second Clinical Medical College, Jinan University), Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Dong+J%22">Dong J</searchLink>; Department of General Medicine, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Guo+Q%22">Guo Q</searchLink>; Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Zhu+S%22">Zhu S</searchLink>; Guangzhou Institute of Technology, Xidian University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Tang+D%22">Tang D</searchLink>; Clinical Medical Research Center, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology, The Second Clinical Medical College, Jinan University), Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Dai+Y%22">Dai Y</searchLink>; Clinical Medical Research Center, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology, The Second Clinical Medical College, Jinan University), Shenzhen, China.; The First Affiliated Hospital, School of Medicine, Anhui University of Science and Technology, Huainan, China.<br /><searchLink fieldCode="AU" term="%22Yin+L%22">Yin L</searchLink>; Department of Nephrology, The First Afliated Hospital of Jinan University, Guangzhou, China.; Guangzhou Enttxs Medical Products Co., Ltd., Guangzhou, China.
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  Data: <searchLink fieldCode="JN" term="%22101653173%22">Frontiers in molecular biosciences</searchLink> [Front Mol Biosci] 2026 Feb 20; Vol. 13, pp. 1746108. <i>Date of Electronic Publication: </i>2026 Feb 20 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+S%2EA%22">Frontiers Media S.A </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101653173 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2296-889X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222296889X%22">2296889X </searchLink><i>NLM ISO Abbreviation: </i>Front Mol Biosci <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41797993
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              Text: 2026 Feb 20
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