Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records.
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| Title: | Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records. |
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| Authors: | Liu K; Big Data Decision Institute, Jinan University, Guangzhou, Guangdong, China., Zhang X; Big Data Decision Institute, Jinan University, Guangzhou, Guangdong, China., Chen W; Big Data Decision Institute, Jinan University, Guangzhou, Guangdong, China., Yu ASL; Division of Nephrology and Hypertension and the Jared Grantham Kidney Institute, School of Medicine, University of Kansas Medical Center, Kansas City., Kellum JA; Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania., Matheny ME; Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee.; Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.; Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee.; Geriatrics Research Education and Clinical Care Center, Veterans Affairs Tennessee Valley Healthcare System, Nashville., Simpson SQ; Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City., Hu Y; Big Data Decision Institute, Jinan University, Guangzhou, Guangdong, China., Liu M; Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City. |
| Source: | JAMA network open [JAMA Netw Open] 2022 Jul 01; Vol. 5 (7), pp. e2219776. Date of Electronic Publication: 2022 Jul 01. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2574-3805 |
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| DOI: | 10.1001/jamanetworkopen.2022.19776 |
