Machine learning to predict in-hospital mortality among patients with severe obesity: Proof of concept study.
Saved in:
| Title: | Machine learning to predict in-hospital mortality among patients with severe obesity: Proof of concept study. |
|---|---|
| Authors: | Soffer S; Internal Medicine B Assuta Medical Center Ashdod Israel.; Ben-Gurion University of the Negev Be'er Sheva Israel., Zimlichman E; Hospital Management Sheba Medical Center Tel Hashomer Israel.; Sackler Medical School Tel Aviv University Tel Aviv Israel.; Sheba Talpiot Medical Leadership Program Tel Hashomer Israel., Levin MA; Department of Population Health Science and Policy Institute for Healthcare Delivery Science Icahn School of Medicine at Mount Sinai New York New York USA.; Department of Anesthesiology, Perioperative and Pain Medicine Icahn School of Medicine at Mount Sinai New York New York USA., Zebrowski AM; Department of Emergency Medicine Icahn School of Medicine at Mount Sinai New York New York USA.; Department of Population Health Science and Policy Institute for Translational Epidemiology Icahn School of Medicine at Mount Sinai New York New York USA., Glicksberg BS; Hasso Plattner Institute for Digital Health at Mount Sinai Icahn School of Medicine at Mount Sinai New York New York USA.; Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New York New York USA., Freeman R; Department of Population Health Science and Policy Institute for Healthcare Delivery Science Icahn School of Medicine at Mount Sinai New York New York USA., Reich DL; Department of Anesthesiology, Perioperative and Pain Medicine Icahn School of Medicine at Mount Sinai New York New York USA., Klang E; Sackler Medical School Tel Aviv University Tel Aviv Israel.; Sheba Talpiot Medical Leadership Program Tel Hashomer Israel.; Department of Diagnostic Imaging Sheba Medical Center Tel Hashomer Israel. |
| Source: | Obesity science & practice [Obes Sci Pract] 2022 Mar 24; Vol. 8 (4), pp. 474-482. Date of Electronic Publication: 2022 Mar 24 (Print Publication: 2022). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: John Wiley & Sons Inc Country of Publication: United States NLM ID: 101675151 Publication Model: eCollection Cited Medium: Internet ISSN: 2055-2238 (Electronic) Linking ISSN: 20552238 NLM ISO Abbreviation: Obes Sci Pract Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2055-2238 |
|---|---|
| DOI: | 10.1002/osp4.571 |
