Related references
Note: Only part of the references are listed.Conditional Survival With Increasing Duration of ICU Admission: An Observational Study of Three Intensive Care Databases
Dominic C. Marshall et al.
CRITICAL CARE MEDICINE (2020)
Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019
Matthew A. Reyna et al.
CRITICAL CARE MEDICINE (2020)
Blood loss from laboratory testing, anemia, and red blood cell transfusion in the intensive care unit: a retrospective study
Nicholas L. Jackson Chornenki et al.
TRANSFUSION (2020)
Early prediction of circulatory failure in the intensive care unit using machine learning
Stephanie L. Hyland et al.
NATURE MEDICINE (2020)
Epidemiology of Hospital-Onset Versus Community-Onset Sepsis in US Hospitals and Association With Mortality: A Retrospective Analysis Using Electronic Clinical Data
Chanu Rhee et al.
CRITICAL CARE MEDICINE (2019)
Shock index and pulse pressure as triggers for massive transfusion
Caroline S. Zhu et al.
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY (2019)
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs
Christopher Barton et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2019)
A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice*
Heather M. Giannini et al.
CRITICAL CARE MEDICINE (2019)
Random forest modeling can predict infectious complications following trauma laparotomy
Rondi B. Gelbard et al.
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY (2019)
Outcomes following restrictive or liberal red blood cell transfusion in patients with lower gastrointestinal bleeding
Omar Kherad et al.
ALIMENTARY PHARMACOLOGY & THERAPEUTICS (2019)
An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU
Shamim Nemati et al.
CRITICAL CARE MEDICINE (2018)
Hemorrhagic Shock
Jeremy W. Cannon
NEW ENGLAND JOURNAL OF MEDICINE (2018)
Impact of Mean Arterial Pressure Fluctuation on Mortality in Critically Ill Patients
Ya Gao et al.
CRITICAL CARE MEDICINE (2018)
Uncovering the regeneration strategies of zebrafish organs: a comprehensive systems biology study on heart, cerebellum, fin, and retina regeneration
Fang-Yu Liu et al.
BMC SYSTEMS BIOLOGY (2018)
Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment
Andrew Wong et al.
JAMA NETWORK OPEN (2018)
Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
Benjamin A. Goldstein et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2017)
MODELING ACUTE TRAUMATIC HEMORRHAGIC SHOCK INJURY: CHALLENGES AND GUIDELINES FOR PRECLINICAL STUDIES
Jordi L. Tremoleda et al.
SHOCK (2017)
Prediction of Mortality in Patients with Isolated Traumatic Subarachnoid Hemorrhage Using a Decision Tree Classifier: A Retrospective Analysis Based on a Trauma Registry System
Cheng-Shyuan Rau et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2017)
Machine learning based framework for EEG/ERP analysis
Rober Boshra et al.
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY (2016)
Prediction models for cardiovascular disease risk in the general population: systematic review
Johanna A. A. G. Damen et al.
BMJ-BRITISH MEDICAL JOURNAL (2016)
Prediction models for cardiovascular disease risk in the general population: systematic review
Johanna A. A. G. Damen et al.
BMJ-BRITISH MEDICAL JOURNAL (2016)
COMPARISON OF DECISION-ASSIST AND CLINICAL JUDGMENT OF EXPERTS FOR PREDICTION OF LIFESAVING INTERVENTIONS
Colin F. Mackenzie et al.
SHOCK (2015)
AN INCREASE IN INITIAL SHOCK INDEX IS ASSOCIATED WITH THE REQUIREMENT FOR MASSIVE TRANSFUSION IN EMERGENCY DEPARTMENT PATIENTS WITH PRIMARY POSTPARTUM HEMORRHAGE
Chang Hwan Sohn et al.
SHOCK (2013)
Haemorrhage control in severely injured patients
Russell L. Gruen et al.
LANCET (2012)
Modified shock index and mortality rate of emergency patients
Ye-cheng Liu et al.
WORLD JOURNAL OF EMERGENCY MEDICINE (2012)
Ideal Permissive Hypotension to Resuscitate Uncontrolled Hemorrhagic Shock and the Tolerance Time in Rats
Tao Li et al.
ANESTHESIOLOGY (2011)
Utility of the Shock Index in Predicting Mortality in Traumatically Injured Patients
Chad M. Cannon et al.
JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE (2009)
Decision tool for the early diagnosis of trauma patient hypovolemia
Liangyou Chen et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2008)
Acute coagulopathy of trauma: Hypoperfusion induces systemic anticoagulation and hyperfibrinolysis
Karim Brohi et al.
JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE (2008)
The effect of hypoxemic resuscitation from hemorrhagic shock on blood pressure restoration and on oxidative and inflammatory responses
Emmanuel E. Douzinas et al.
INTENSIVE CARE MEDICINE (2008)
Impact of hemorrhage on trauma outcome: An overview of epidemiology, clinical presentations, and therapeutic considerations
David S. Kauvar et al.
JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE (2006)
Clinical review: Hemorrhagic shock
G Gutierrez et al.
CRITICAL CARE (2004)