Multidimensional machine learning models predicting outcomes after trauma.

Saved in:
Bibliographic Details
Title: Multidimensional machine learning models predicting outcomes after trauma.
Authors: Moris D; Medical Center, Duke University Durham, NC. Electronic address: dimitrios.moris@duke.edu., Henao R; School of Medicine, Duke University Durham, NC., Hensman H; DecisionQ, Arlington, VA; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD., Stempora L; Medical Center, Duke University Durham, NC; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD., Chasse S; Medical Center, Duke University Durham, NC; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD., Schobel S; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD; Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD., Dente CJ; Department of Surgery, Emory University, Atlanta, GA., Kirk AD; Medical Center, Duke University Durham, NC; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD., Elster E; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD; Walter Reed National Military Medical Center, Bethesda, MD.
Source: Surgery [Surgery] 2022 Dec; Vol. 172 (6), pp. 1851-1859. Date of Electronic Publication: 2022 Sep 16.
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Mosby Country of Publication: United States NLM ID: 0417347 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-7361 (Electronic) Linking ISSN: 00396060 NLM ISO Abbreviation: Surgery Subsets: MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first