Machine Learning Models for Prediction of Reinjury After Penetrating Trauma

Journal article

Open access

Peer reviewed

Joshua Parreco and Rishi Rattan

JAMA surgery, Vol.153(2), pp.184-186

2018-02

PMCID: PMC5838585

PMID: 29049476

Abstract

Online First

Research

Letters

Research Letter

This study compares several machine learning models for prediction of reinjury after penetrating trauma.

url

https://doi.org/10.1001/jamasurg.2017.3116View

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Citation topics: 1 Clinical & Life Sciences; 1.21 Psychiatry; 1.21.430 Suicide
Web Of Science research areas: Surgery
ESI research areas: Clinical Medicine

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Source: InCites

Title: Machine Learning Models for Prediction of Reinjury After Penetrating Trauma
Creators: Joshua Parreco - Department of Surgery, University of Miami Leonard M. Miller School of Medicine, Miami, Florida
Rishi Rattan - Department of Surgery, University of Miami Leonard M. Miller School of Medicine, Miami, Florida
Publication Details: JAMA surgery, Vol.153(2), pp.184-186
Publisher: American Medical Association
Academic Unit: Miller School of Medicine; UMMG Department of Surgery; UMMG Dept of Surgery - Div of Trauma & Surgical Critical Care Services
Language: English
Resource Type: Journal article
PMID: 29049476
PMCID: PMC5838585
Record Identifier: 991031597546802976