repoGitHubTrust 82 · PrimaryPublished 8h agoLive · 1h ago
chayandatta/Heart_disease_prediction
A machine learning project that compares five classification algorithms for predicting the presence of heart disease from clinical patient data.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 59%Artificial Intelligence in Cardiology: Applications in Diagnosis and Risk Prediction - Cureus →
- PossiblePossibly related (embedding) · 54%Machine Learning May Improve Arrhythmic Risk Prediction - EMJ →
- PossiblePossibly related (embedding) · 51%Advancing Neurological Disease Prediction through Machine Learning Techniques - Carroll County Mirror-Democrat →
- PossiblePossibly related (embedding) · 51%Advancing Neurological Disease Prediction through Machine Learning Techniques - lincolnjournal.com →
Covers
newsArtificial Intelligence in Cardiology: Applications in Diagnosis and Risk Prediction - CureusnewsMachine Learning May Improve Arrhythmic Risk Prediction - EMJnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - Carroll County Mirror-DemocratnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - lincolnjournal.com
Related across the graph
newsArtificial Intelligence in Cardiology: Applications in Diagnosis and Risk Prediction - CureusnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - Carroll County Mirror-DemocratnewsMachine Learning May Improve Arrhythmic Risk Prediction - EMJnewsAdvancing Neurological Disease Prediction through Machine Learning Techniques - lincolnjournal.com