Article

CardioAI: An Explainable Machine Learning System for Cardiovascular Risk Prediction and Patient Retention in Nigerian Healthcare Settings

2026-03-31

Abstract excerpt

<h4>Background</h4> Cardiovascular disease is the leading cause of mortality in Nigeria and across sub-Saharan Africa, with rising incidence attributable to urbanisation, sedentary lifestyles, and limited access to early detection tools. Concurrently, patient dropout from rehabilitation programs remains a critical operational challenge for Nigerian clinics, with many patients failing to return after their initial...

Topics

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

Identifiers and source

Literature Corpus work: 08719216-f197-5187-bde0-2306761ecb48
DOI: 10.64898/2026.03.29.26349642

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

CardioAI: An Explainable Machine Learning System for Cardiovascular Risk Prediction and Patient Retention in Nigerian Healthcare SettingsDOI 10.64898/2026.03.29.26349642Read

Explainable Hybrid CNN SVM Framework for Cardiovascular Disease Risk Prediction Using Clinical DataSemantic proximity Read

Heart Failure Prediction & Risk Stratification using Machine LearningSemantic proximity Read

Interpretable Machine Learning Prediction of All-Cause MortalitySemantic proximity Read

An Explainable Self-Supervised Learning Framework for Interpretable and Accurate Heart Disease Prediction Using EDA–SimCLR–SHAP PipelineSemantic proximity Read

Heart Failure Prediction & Risk Stratification using Machine LearningSemantic proximity Read

An Interpretable Machine Learning Model for the Diagnosis of Coronary Heart Disease in Patients with Type 2 Diabetes Mellitus: A Multi-Center Cohort StudySemantic proximity Read

Comparative Evaluation of SHAP and LIME for Clinical Interpretability in Postoperative Cardiac Surgery Mortality Prediction ModelsSemantic proximity Read

Explainable Artificial Intelligence for the Detection and Characterisation of Stage B Heart FailureSemantic proximity Read

DiaHealth: Early Prediction of Type-2 Diabetes with Associated Risk Factors Using Machine Learning and Explainable AISemantic proximity Read

CardioTrust: Trustworthy Retrieval Augmented Clinical Decision Support for Personalized Cardiovascular Disease PredictionSemantic proximity Read

Risk Stratification for In-Hospital Mortality in Alzheimer’s Disease Using Interpretable Regression and Explainable AISemantic proximity Read

Machine learning prognosis model based on patient-reported outcomes for chronic heart failure patients after dischargeSemantic proximity Read