Determinants of In‐Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach (original) (raw)
Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention
Jay Widmer
JACC: Cardiovascular Interventions, 2019
View PDFchevron_right
Machine Learning Improves the Identification of Individuals With Higher Morbidity and Avoidable Health Costs After Acute Coronary Syndromes
Marta Duran Fernandez
Value in Health, 2020
View PDFchevron_right
Machine learning prediction of mortality in Acute Myocardial Infarction
Joana Seringa
BMC Medical Informatics and Decision Making
View PDFchevron_right
A machine learning–based 1-year mortality prediction model after hospital discharge for clinical patients with acute coronary syndrome
Syed Waseem Abbas Sherazi
Health Informatics Journal, 2019
View PDFchevron_right
An Optimized Machine Learning Model Accurately Predicts In-Hospital Outcomes at Admission to a Cardiac Unit
Shibba Chhabra
Diagnostics, 2022
View PDFchevron_right
Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis
Gilbert Raff
European heart journal, 2016
View PDFchevron_right
Prediction of All-Cause Mortality Following Percutaneous Coronary Intervention in Bifurcation Lesions Using Machine Learning Algorithms
Daniela Trabattoni
Journal of Personalized Medicine
View PDFchevron_right
Machine Learning Improves Risk Stratification After Acute Coronary Syndrome
Collin Stultz
Scientific reports, 2017
View PDFchevron_right
Can machine learning unravel unsuspected, clinically important factors predictive of long-term mortality in complex coronary artery disease? A call for ‘big data’
Kai Ninomiya
European Heart Journal - Digital Health
View PDFchevron_right
Implementing Machine Learning in Interventional Cardiology: The Benefits are Worth the Trouble
Walid Ben Ali
View PDFchevron_right
Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning models
Anne Epema
2017
View PDFchevron_right
Identifying mortality risk factors amongst acute coronary syndrome patients admitted to Arabian Gulf hospitals using machine‐learning methods
Lukman Thalib
Expert Systems, 2019
View PDFchevron_right
Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality
Brian Cozzi
2019
View PDFchevron_right
Machine learning algorithms for predicting mortality after coronary artery bypass grafting
Mana Jameie
Frontiers in Cardiovascular Medicine, 2022
View PDFchevron_right
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events
Michael Schrempf
Navigating Healthcare Through Challenging Times
View PDFchevron_right
Using machine‐learning methods to predict in‐hospital mortality through the Elixhauser index: A Medicare data analysis
Kristine Kulage
Research in Nursing & Health, 2023
View PDFchevron_right
Short- and long-term mortality prediction after an acute ST-elevation myocardial infarction (STEMI) in Asians: A machine learning approach
A09 Firdaus Aziz
PLOS ONE, 2021
View PDFchevron_right
A Machine Learning Algorithm for Risk Prediction of Acute Coronary Syndrome (ANGINA) Predicción de riesgo de sufrir un síndrome coronario agudo mediante un algoritmo de machine learning
Roberto Campos
2020
View PDFchevron_right
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics1
Alexander Felfernig
Studies in health technology and informatics, 2023
View PDFchevron_right
Machine learning for prediction of 30-day mortality after ST elevation myocardial infraction: An Acute Coronary Syndrome Israeli Survey data mining study
Zaza Iakobishvili
International Journal of Cardiology, 2017
View PDFchevron_right
Extensive phenotype data and machine learning in prediction of mortality in acute coronary syndrome – the MADDEC study
Kjell Nikus
Annals of Medicine, 2019
View PDFchevron_right
Short-Term Risk Estimation and Treatment Planning for Cardiovascular Disease Patients after First Diagnostic Catheterizations with Machine Learning Models
John Li
Applied Sciences
View PDFchevron_right
A Machine Learning-Based Approach for the Prediction of Acute Coronary Syndrome Requiring Revascularization
Yung-Kyun Noh
Journal of Medical Systems, 2019
View PDFchevron_right
Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis
Tsuyoshi Sakama
PLOS ONE, 2019
View PDFchevron_right
Machine learning-based prediction of 1-year mortality for acute coronary syndrome✰
Shmuel Gottlieb
Journal of Cardiology, 2022
View PDFchevron_right
Comparison of artificial neural networks with logistic regression in prediction of in-hospital death after percutaneous transluminal coronary angioplasty
Steven Werns
American Heart Journal, 2000
View PDFchevron_right
Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection
Benjamin Haaland
BMC Medical Informatics and Decision Making, 2014
View PDFchevron_right
Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data
Guy Madison
BMC Medical Informatics and Decision Making, 2017
View PDFchevron_right
Applying machine learning methods to predict operative mortality after tricuspid valve surgery
Sultan Alamro
The Cardiothoracic Surgeon
View PDFchevron_right
Predicting the Need for Cardiovascular Surgery: A Comparative Study of Machine Learning Models
ARMAN GHAVIDEL
Journal of Electronics, Electromedical Engineering, and Medical Informatics, 2024
View PDFchevron_right
Assessment of Machine Learning Approaches to Predict in-Hospital Mortality in Patients Underwent Prosthetic Heart Valve Replacement Surgery
Mehrdad Oveisi
Journal of Advances in Medical and Biomedical Research
View PDFchevron_right
Machine Learning Models with Preoperative Risk Factors and Intraoperative Hypotension Parameters Predict Mortality After Cardiac Surgery
Valluvan Rangasamy
Journal of Cardiothoracic and Vascular Anesthesia, 2021
View PDFchevron_right