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An interpretable predictive deep learning platform for pediatric metabolic diseases.

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Title: An interpretable predictive deep learning platform for pediatric metabolic diseases.
Authors: Javidi H; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, United States.; Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, United States.; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, United States., Mariam A; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, United States.; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, United States., Alkhaled L; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, United States.; Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH 44195, United States., Pantalone KM; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, United States.; Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH 44195, United States., Rotroff DM; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, United States.; Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, United States.; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, United States.; Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH 44195, United States.
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2024 May 20; Vol. 31 (6), pp. 1227-1238.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Javidi+H%22">Javidi H</searchLink>; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, United States.; Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, United States.; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, United States.<br /><searchLink fieldCode="AU" term="%22Mariam+A%22">Mariam A</searchLink>; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, United States.; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, United States.<br /><searchLink fieldCode="AU" term="%22Alkhaled+L%22">Alkhaled L</searchLink>; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, United States.; Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH 44195, United States.<br /><searchLink fieldCode="AU" term="%22Pantalone+KM%22">Pantalone KM</searchLink>; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, United States.; Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH 44195, United States.<br /><searchLink fieldCode="AU" term="%22Rotroff+DM%22">Rotroff DM</searchLink>; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, United States.; Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, United States.; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, United States.; Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH 44195, United States.
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  Data: <searchLink fieldCode="JN" term="%229430800%22">Journal of the American Medical Informatics Association : JAMIA</searchLink> [J Am Med Inform Assoc] 2024 May 20; Vol. 31 (6), pp. 1227-1238.
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        Value: 10.1093/jamia/ocae049
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      – TitleFull: An interpretable predictive deep learning platform for pediatric metabolic diseases.
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              Text: 2024 May 20
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