Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment
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Title
Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment
Authors
Keywords
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Journal
JAMA Network Open
Volume 4, Issue 5, Pages e2110703
Publisher
American Medical Association (AMA)
Online
2021-05-21
DOI
10.1001/jamanetworkopen.2021.10703
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Note: Only part of the references are listed.- Super Learner for Survival Data Prediction
- (2020) Marzieh K. Golmakani et al. International Journal of Biostatistics
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- (2019) Neena S. Abraham et al. Clinical Gastroenterology and Hepatology
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- (2019) Evangelia Christodoulou et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- HAS-BLED Scores Underestimate Gastrointestinal Bleeding Risk Among Those With H. pylori
- (2019) Adam Faye et al. AMERICAN JOURNAL OF GASTROENTEROLOGY
- Gastrointestinal Safety of Direct Oral Anticoagulants: A Large Population-Based Study
- (2017) Neena S. Abraham et al. GASTROENTEROLOGY
- Evaluation of the HAS-BLED, ATRIA, and ORBIT Bleeding Risk Scores in Patients with Atrial Fibrillation Taking Warfarin
- (2016) Keitaro Senoo et al. AMERICAN JOURNAL OF MEDICINE
- Clinical Impact of Gastrointestinal Bleeding in Patients Undergoing Percutaneous Coronary Interventions
- (2015) K. C. Koskinas et al. Circulation-Cardiovascular Interventions
- Comparative risk of gastrointestinal bleeding with dabigatran, rivaroxaban, and warfarin: population based cohort study
- (2015) N. S. Abraham et al. BMJ-British Medical Journal
- Comparative risk of gastrointestinal bleeding with dabigatran, rivaroxaban, and warfarin: population based cohort study
- (2015) N. S. Abraham et al. BMJ-British Medical Journal
- ROC operating point selection for classification of imbalanced data with application to computer-aided polyp detection in CT colonography
- (2013) Bowen Song et al. International Journal of Computer Assisted Radiology and Surgery
- Scores to Predict Major Bleeding Risk During Oral Anticoagulation Therapy: A Prospective Validation Study
- (2012) Jacques Donzé et al. AMERICAN JOURNAL OF MEDICINE
- Predictive Value of the HAS-BLED and ATRIA Bleeding Scores for the Risk of Serious Bleeding in a “Real-World” Population With Atrial Fibrillation Receiving Anticoagulant Therapy
- (2012) Vanessa Roldán et al. CHEST
- OC-015 Prognostic indicators for short and long-term outcomes of colorectal endoscopic mucosal resection (EMR): a multi-centre (CERT-n) study
- (2012) J Geraghty et al. GUT
- Performance of the HEMORR2HAGES, ATRIA, and HAS-BLED Bleeding Risk–Prediction Scores in Patients With Atrial Fibrillation Undergoing Anticoagulation
- (2012) Stavros Apostolakis et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- A Novel User-Friendly Score (HAS-BLED) To Assess 1-Year Risk of Major Bleeding in Patients With Atrial Fibrillation
- (2010) Ron Pisters et al. CHEST
- Risk of bleeding in patients with acute myocardial infarction treated with different combinations of aspirin, clopidogrel, and vitamin K antagonists in Denmark: a retrospective analysis of nationwide registry data
- (2009) Rikke Sørensen et al. LANCET
- Random survival forests
- (2008) Hemant Ishwaran et al. Annals of Applied Statistics
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