Dynamic multi-outcome prediction after injury: Applying adaptive machine learning for precision medicine in trauma
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Dynamic multi-outcome prediction after injury: Applying adaptive machine learning for precision medicine in trauma
Authors
Keywords
Machine learning algorithms, Machine learning, Forecasting, Blood transfusion, Acute respiratory distress syndrome, Traumatic injury, Venous thromboembolism, Algorithms
Journal
PLoS One
Volume 14, Issue 4, Pages e0213836
Publisher
Public Library of Science (PLoS)
Online
2019-04-11
DOI
10.1371/journal.pone.0213836
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The Kampala Trauma Score has poor diagnostic accuracy for most emergency presentations
- (2017) Stevan R Bruijns et al. INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED
- Transfusion of Plasma, Platelets, and Red Blood Cells in a 1:1:1 vs a 1:1:2 Ratio and Mortality in Patients With Severe Trauma
- (2015) John B. Holcomb et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- (2015) Jerome Friedman et al. Journal of Statistical Software
- Variable Importance and Prediction Methods for Longitudinal Problems with Missing Variables
- (2015) Iván Díaz et al. PLoS One
- Trauma with Injury Severity Score of 75: Are These Unsurvivable Injuries?
- (2015) Jin Peng et al. PLoS One
- ICU severity of illness scores
- (2014) Jorge I.F. Salluh et al. Current Opinion in Critical Care
- A data-driven approach to optimized medication dosing: a focus on heparin
- (2014) Mohammad M. Ghassemi et al. INTENSIVE CARE MEDICINE
- The Utility of the Kampala Trauma Score as a Triage Tool in a Sub-Saharan African Trauma Cohort
- (2014) Bryce Haac et al. WORLD JOURNAL OF SURGERY
- Is the Kampala Trauma Score an Effective Predictor of Mortality in Low-Resource Settings? A Comparison of Multiple Trauma Severity Scores
- (2014) Sharon R. Weeks et al. WORLD JOURNAL OF SURGERY
- Time-dependent prediction and evaluation of variable importance using superlearning in high-dimensional clinical data
- (2013) Alan Hubbard et al. Journal of Trauma and Acute Care Surgery
- Predictive Modeling With Big Data: Is Bigger Really Better?
- (2013) Enric Junqué de Fortuny et al. Big Data
- Multiparameter Intelligent Monitoring in Intensive Care II: A public-access intensive care unit database*
- (2011) Mohammed Saeed et al. CRITICAL CARE MEDICINE
- Comparison of Effect Sizes Associated With Biomarkers Reported in Highly Cited Individual Articles and in Subsequent Meta-analyses
- (2011) John P. A. Ioannidis JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Caution when using prognostic models: A prospective comparison of 3 recent prognostic models
- (2011) Antonio Paulo Nassar et al. JOURNAL OF CRITICAL CARE
- VALIDATION OF POSTINJURY MULTIPLE ORGAN FAILURE SCORES
- (2009) Angela Sauaia et al. SHOCK
- Protein C Depletion Early After Trauma Increases the Risk of Ventilator-Associated Pneumonia
- (2009) Mitchell J. Cohen et al. JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE
- Early Prediction of Massive Transfusion in Trauma: Simple as ABC (Assessment of Blood Consumption)?
- (2009) Timothy C. Nunez et al. JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started