Ta Ghetia
Algorithms · 2023
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Ta Ghetia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ta Ghetia's perspective
Ordered by how strongly the researchers Ta Ghetia trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- XGBoost: A Scalable Tree Boosting System
- Heart Disease Prediction using Machine Learning (International Journal for Research in Applied Science and Engineering Technology)
- Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques (IEEE Access)
- Heart Disease and Stroke Statistics—2015 Update: A Report From the American Heart Association (Circulation)
- Gender differences in coronary heart disease (Netherlands Heart Journal)
- Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association (Circulation)
- Association of Body Mass Index With Lifetime Risk of Cardiovascular Disease and Compression of Morbidity (JAMA cardiology)
- Heart Disease Prediction using Machine Learning Techniques (SN Computer Science)
- Predictive Data Mining for Medical Diagnosis: An Overview of Heart Disease Prediction
Their papers
- Effective Heart Disease Prediction Using Machine Learning Techniques (2023) — 338 citations