Joint Modeling of Clinical and Biomarker Data in Acute Kidney Injury Defines Unique Subphenotypes with Differing Outcomes.
Saved in:
| Title: | Joint Modeling of Clinical and Biomarker Data in Acute Kidney Injury Defines Unique Subphenotypes with Differing Outcomes. |
|---|---|
| Authors: | Vasquez-Rios G; Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York., Oh W; Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, New York.; Division of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, New York., Lee S; Icahn School of Medicine at Mount Sinai, New York, New York., Bhatraju P; Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington.; Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, Washington., Mansour SG; Section of Nephrology, Yale University School of Medicine, New Haven, Connecticut., Moledina DG; Section of Nephrology, Yale University School of Medicine, New Haven, Connecticut., Gulamali FF; Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, New York.; Division of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, New York., Siew ED; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee., Garg AX; Division of Nephrology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada., Sarder P; Department of Biomedical Engineering, SUNY Buffalo, Buffalo, New York., Chinchilli VM; Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania., Kaufman JS; Division of Nephrology, Veterans Affairs New York Harbor Healthcare System and New York University School of Medicine, New York, New York., Hsu CY; Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California., Liu KD; Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California., Kimmel PL; Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland., Go AS; Kaiser Permanente Northern California, Oakland, California., Wurfel MM; Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, Washington., Himmelfarb J; Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington, Seattle, Washington., Parikh CR; Division of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland., Coca SG; Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York., Nadkarni GN; Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.; Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, New York.; Division of Data-Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, New York. |
| Source: | Clinical journal of the American Society of Nephrology : CJASN [Clin J Am Soc Nephrol] 2023 Jun 01; Vol. 18 (6), pp. 716-726. Date of Electronic Publication: 2023 Mar 28. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Wolters Kluwer Health Country of Publication: United States NLM ID: 101271570 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1555-905X (Electronic) Linking ISSN: 15559041 NLM ISO Abbreviation: Clin J Am Soc Nephrol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
