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. |
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| 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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| ISSN: | 1527-974X |
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| DOI: | 10.1093/jamia/ocae049 |
