ArticleHealthcare (Basel, Switzerland)2021
Machine-Learning Techniques for Feature Selection and Prediction of Mortality in Elderly CABG Patients.
Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Development and external validation of an interpretable machine learning model for predicting prolonged postoperative ICU length of stay in coronary artery bypass grafting patients using MIMIC-IV 3.1 and eICU-CRD 2.0.BMC medical informatics and decision making · 2026Article
- An In-Hospital Mortality Risk Model for Patients Undergoing Coronary Artery Bypass Grafting Based on Machine Learning: Cohort Study.JMIR formative research · 2026Article
- Machine learning-based prediction of 1-year mortality risk after off-pump coronary artery bypass grafting.Journal of thoracic disease · 2026Article
- Application of XGBoost and logistic regression in predicting 90 days mortality for elderly severe acute renal failure patients.Scientific reports · 2026Article
- Impact of occult renal dysfunction on postoperative acute kidney injury and late prognosis in elderly patients undergoing coronary artery bypass.BMC nephrology · 2026Observational
- Machine learning in predicting preoperative intra-aortic balloon pump use in patients undergoing coronary artery bypass grafting.Journal of cardiothoracic surgery · 2025Article
- Machine learning-based hybrid risk estimation system (ERES) in cardiac surgery: Supplementary insights from the ASA score analysis.PLOS digital health · 2025Article
- Investigating long-term risk of aortic aneurysm and dissection from fluoroquinolones and the key contributing factors using machine learning methods.Scientific reports · 2025Article
- Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection.BMC health services research · 2025Article
- Impact of Pre-Transplant Parathyroidectomy on Graft Survival: A Comparative Study of Renal Transplant Patients (2005-2015).Medical science monitor : international medical journal of experimental and clinical research · 2023Article
- Machine learning-based prediction of 1-year mortality in hypertensive patients undergoing coronary revascularization surgery.Clinical cardiology · 2023Article
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- Explainable machine learning framework for predicting long-term cardiovascular disease risk among adolescents.Scientific reports · 2022Article
- Age-Stratified Analysis of COVID-19 Outcome Using Machine Learning Predictive Models.Healthcare (Basel, Switzerland) · 2022Article
- Exploratory Study of Palliative Care Utilization and Medical Expense for Inpatients at the End-of-Life.International journal of environmental research and public health · 2022Article
- Machine learning algorithms for predicting mortality after coronary artery bypass grafting.Frontiers in cardiovascular medicine · 2022Article
- Hazardous Effect of Low-Dose Aspirin in Patients with Predialysis Advanced Chronic Kidney Disease Assessed by Machine Learning Method Feature Selection.Healthcare (Basel, Switzerland) · 2021Article
- Comparison of Different Machine Learning Classifiers for Glaucoma Diagnosis Based on Spectralis OCT.Diagnostics (Basel, Switzerland) · 2021Article
- Post-Analysis of Predictive Modeling with an Epidemiological Example.Healthcare (Basel, Switzerland) · 2021Article
- The Prediction Model of Medical Expenditure Appling Machine Learning Algorithm in CABG Patients.Healthcare (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronary artery bypass surgery grafting (CABG) is a commonly efficient treatment for coronary artery disease patients. Even if we know the underlying disease, and advancing age is related to survival, there is no research using the one year before surgery and operation-associated factors as predicting elements. This research used different machine-learning methods to select the features and predict older adults' survival (more than 65 years old). This nationwide population-based cohort study used the National Health Insurance Research Database (NHIRD), the largest and most complete dataset in Taiwan. We extracted the data of older patients who had received their first CABG surgery criteria between January 2008 and December 2009 (
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.