Journal Article

·2026 OPEN ACCESS

An enhanced heart disease prediction model based on linear Diophantine fuzzy-integrated supervised machine learning

Jeevitha Kannan , J. Vimala , Nasreen Kausar YTU , Liang Kong

Health Information Science and Systems

No open-access abstract is available for this article. Use the DOI link on the right to read the full text.

Keywords

Categorical variable Support vector machine Vagueness Ambiguity Feature (linguistics) Supervised learning Decision tree Machine learning Artificial intelligence Computer science

Subject Areas

Artificial Intelligence in Healthcare ·Health Information Management ·Health Sciences
Brain Tumor Detection and Classification ·Neurology ·Life Sciences
ECG Monitoring and Analysis ·Cardiology and Cardiovascular Medicine ·Health Sciences

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Peace, Justice and strong institutions 63%

Related Articles

Other articles contributing to the same SDGs.

2026

Measurements of $$ \textrm{t}\overline{\textrm{t}}\textrm{W} $$ differential cross sections and the leptonic charge asymmetry at $$ \sqrt{s}=13 $$ TeV

Journal of High Energy Physics

2026 · 1 citations

From Delivery Delays to AI-Mediated Escalation Failures: A BERTopic Analysis of Complaints About Risk and Trust in E-Commerce Marketplaces (2019–2025)

Journal of theoretical and applied electronic commerce research

2026 · 2 citations

Explainable address matching in online geocoding: filter-based feature selection and ensemble classification

GeoInformatica

2026

The Transparency Paradox: How Digital Accountability Can Inflate Public Costs in Low-Trust Environments

Journal of Management in Engineering
All articles