4.4 Review

Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review

Related references

Note: Only part of the references are listed.
Article Gastroenterology & Hepatology

A simplified prognostic model to predict mortality in patients with acute variceal bleeding

Han Hee Lee et al.

DIGESTIVE AND LIVER DISEASE (2018)

Editorial Material Medicine, General & Internal

Big Data and Predictive Analytics Recalibrating Expectations

Nilay D. Shah et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2018)

Article Health Care Sciences & Services

Scalable and accurate deep learning with electronic health records

Alvin Rajkomar et al.

NPJ DIGITAL MEDICINE (2018)

Review Computer Science, Information Systems

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)

Article Multidisciplinary Sciences

Dermatologist-level classification of skin cancer with deep neural networks

Andre Esteva et al.

NATURE (2017)

Article Medicine, General & Internal

Predictors of discharge destination from acute care in patients with traumatic brain injury

Sareh Zarshenas et al.

BMJ OPEN (2017)

Correction Gastroenterology & Hepatology

ACG Clinical Guideline: Management of Patients With Acute Lower Gastrointestinal Bleeding (vol 111, pg 459, 2016)

Lisa L. Strate et al.

AMERICAN JOURNAL OF GASTROENTEROLOGY (2016)

Article Gastroenterology & Hepatology

Development and Validation of a Risk Scoring System for Severe Acute Lower Gastrointestinal Bleeding

Tomonori Aoki et al.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2016)

Article Multidisciplinary Sciences

Prediction of Outcome in Acute Lower Gastrointestinal Bleeding Using Gradient Boosting

Lakshmana Ayaru et al.

PLOS ONE (2015)

Review Medicine, General & Internal

Assessing Bias in Studies of Prognostic Factors

Jill A. Hayden et al.

ANNALS OF INTERNAL MEDICINE (2013)

Article Gastroenterology & Hepatology

A Risk Scoring System to Predict In-hospital Mortality in Patients With Cirrhosis Presenting With Upper Gastrointestinal Bleeding

Thomas Lyles et al.

JOURNAL OF CLINICAL GASTROENTEROLOGY (2013)

Review Gastroenterology & Hepatology

Management of Patients With Ulcer Bleeding

Loren Laine et al.

AMERICAN JOURNAL OF GASTROENTEROLOGY (2012)

Article Gastroenterology & Hepatology

The Glasgow Blatchford Score Is the Most Accurate Assessment of Patients With Upper Gastrointestinal Hemorrhage

Stig Borbjerg Laursen et al.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2012)

Article Gastroenterology & Hepatology

Outcome predictors in acute surgical admissions for lower gastrointestinal bleeding

J. Newman et al.

COLORECTAL DISEASE (2012)

Article Gastroenterology & Hepatology

A simple risk score accurately predicts in-hospital mortality, length of stay, and cost in acute upper GI bleeding

John R. Saltzman et al.

GASTROINTESTINAL ENDOSCOPY (2011)

Article Gastroenterology & Hepatology

Artificial neural networks accurately predict mortality in patients with nonvariceal upper GI bleeding

Gianluca Rotondano et al.

GASTROINTESTINAL ENDOSCOPY (2011)

Review Medicine, General & Internal

International Consensus Recommendations on the Management of Patients With Nonvariceal Upper Gastrointestinal Bleeding

Alan N. Barkun et al.

ANNALS OF INTERNAL MEDICINE (2010)

Article Gastroenterology & Hepatology

Algorithms Outperform Metabolite Tests in Predicting Response of Patients With Inflammatory Bowel Disease to Thiopurines

Akbar K. Waljee et al.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2010)

Article Oncology

Receiver Operating Characteristic Curve in Diagnostic Test Assessment

Jayawant N. Mandrekar

JOURNAL OF THORACIC ONCOLOGY (2010)

Article Gastroenterology & Hepatology

Predicting Early Mortality After Acute Variceal Hemorrhage Based on Classification and Regression Tree Analysis

Salvador Augustin et al.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2009)

Review Medicine, General & Internal

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

David Moher et al.

PLOS MEDICINE (2009)

Article Computer Science, Artificial Intelligence

A decision support system to facilitate management of patients with acute gastrointestinal bleeding

Adrienne Chu et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2008)

Article Gastroenterology & Hepatology

Validation of a clinical prediction rule for severe acute lower intestinal bleeding

LL Strate et al.

AMERICAN JOURNAL OF GASTROENTEROLOGY (2005)

Article Gastroenterology & Hepatology

Early Predictors of Severe Lower Gastrointestinal Bleeding and Adverse Outcomes: A Prospective Study

Fernando S. Velayos et al.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2004)

Article Gastroenterology & Hepatology

Upper digestive bleeding in cirrhosis. Post-therapeutic outcome and prognostic indicators

G D'Amico et al.

HEPATOLOGY (2003)

Article Medicine, General & Internal

A risk score to predict need for treatment for upper-gastrointestinal haemorrhage

O Blatchford et al.

LANCET (2000)