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Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study.

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Title: Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study.
Authors: Heo S; Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea., Kang EA; Medical Informatics Collaborative Unit, Department of Research Affairs, Yonsei University College of Medicine, Seoul, Republic of Korea., Yu JY; Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea., Kim HR; Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea., Lee S; Department of Computer Engineering, Gachon University, Seongnam, Republic of Korea., Kim K; Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea., Hwangbo Y; Healthcare AI Team, National Cancer Center, Goyang, Republic of Korea., Park RW; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea., Shin H; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Republic of Korea., Ryu K; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Republic of Korea., Kim C; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea., Jung H; Healthcare AI Team, National Cancer Center, Goyang, Republic of Korea., Chegal Y; Department of Statistics, Korea University, Seoul, Republic of Korea., Lee JH; Division of Allergy and Immunology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.; Institute of Allergy, Yonsei University College of Medicine, Seoul, Republic of Korea., Park YR; Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Source: JMIR medical informatics [JMIR Med Inform] 2024 Jul 05; Vol. 12, pp. e47693. Date of Electronic Publication: 2024 Jul 05.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Print ISSN: 2291-9694 (Print) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study.
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  Data: <searchLink fieldCode="AU" term="%22Heo+S%22">Heo S</searchLink>; Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kang+EA%22">Kang EA</searchLink>; Medical Informatics Collaborative Unit, Department of Research Affairs, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yu+JY%22">Yu JY</searchLink>; Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+HR%22">Kim HR</searchLink>; Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+S%22">Lee S</searchLink>; Department of Computer Engineering, Gachon University, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+K%22">Kim K</searchLink>; Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Hwangbo+Y%22">Hwangbo Y</searchLink>; Healthcare AI Team, National Cancer Center, Goyang, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+RW%22">Park RW</searchLink>; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Shin+H%22">Shin H</searchLink>; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ryu+K%22">Ryu K</searchLink>; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+C%22">Kim C</searchLink>; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jung+H%22">Jung H</searchLink>; Healthcare AI Team, National Cancer Center, Goyang, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Chegal+Y%22">Chegal Y</searchLink>; Department of Statistics, Korea University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+JH%22">Lee JH</searchLink>; Division of Allergy and Immunology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.; Institute of Allergy, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+YR%22">Park YR</searchLink>; Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101645109%22">JMIR medical informatics</searchLink> [JMIR Med Inform] 2024 Jul 05; Vol. 12, pp. e47693. <i>Date of Electronic Publication: </i>2024 Jul 05.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22JMIR+Publications%22">JMIR Publications </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>101645109 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2291-9694 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222919694%22">22919694 </searchLink><i>NLM ISO Abbreviation: </i>JMIR Med Inform <i>Subsets: </i>PubMed not MEDLINE
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              Text: 2024 Jul 05
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