Back to search

Article

Mortality Prediction in the elderly patients with Coronary Artery Disease and Atrial Fibrillation: A Retrospective Machine Learning Approach

2026-01-13

Abstract excerpt

<title>Abstract</title> <p>Background: Elderly patients with coexisting coronary artery disease (CAD) and atrial fibrillation (AF) are at significantly increased risk of mortality. Accurate risk stratification is crucial for improving clinical management, yet a dedicated predictive tool for this specific population is lacking. The widely used CHA₂DS₂-VASc score demonstrates limited performance in predicting all-c...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
efe77054-5542-5e62-92a6-42a147f7b674
DOI
10.21203/rs.3.rs-8337799/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Mortality Prediction in the elderly patients with Coronary Artery Disease and Atrial Fibrillation: A Retrospective Machine Learning ApproachDOI 10.21203/rs.3.rs-8337799/v1
Development and validation of a new nomogram model for predicting acute ischemic stroke in elderly patients with non-valvular atrial fibrillation:A single-center cross-sectional studySemantic proximity
Nomogram Model for Screening the Risk of Frailty in Elderly Atrial Fibrillation Patients: A cross-sectional studySemantic proximity
Development and Validation of a Predictive Model for Survival Outcomes in Patients with Paroxysmal versus Persistent Atrial Fibrillation: A Retrospective Cohort Study Based on the MIMIC-IV DatabaseSemantic proximity
Development and validation of frailty risk prediction model for elderly patients with coronary heart diseaseSemantic proximity
Machine Learning Prediction of MACE in Older Chinese Adults Integrating Traditional and Geriatric-Specific Risk Factors: A CHARLS Cohort AnalysisSemantic proximity
Prediction performance of a cardiovascular risk assessment tool using Stanford EHR data repositorySemantic proximity
Development and validation of a novel nomogram to predict the impact of the polymorphism of the ICAM-1 gene on the prognosis of ischemic cardiomyopathy.Semantic proximity
Development and Preliminary Assessment of a Mortality Risk Score in Patients with Coronary Artery Disease Receiving Dual Antiplatelet Therapy After Percutaneous Coronary InterventionSemantic proximity
Cardiovascular risk prediction - a systems medicine approachSemantic proximity
Establishment and validation of a risk prediction model for the occurrence of frailty in elderly patients with heart failure with preserved ejection fractionSemantic proximity
Development and validation of a novel nomogram to predict the impact of the polymorphism of the ICAM-1 gene on the prognosis of ischemic cardiomyopathySemantic proximity
Accounting for clustering in automated variable selection using hospital data: A comparison of different LASSO approachesSemantic proximity
Select a neighboring publication to make it the new centre.