Enhanced Heart Disease Diagnosis Using Machine Learning Algorithms: A Comparison of Feature Selection
Heart disease or cardiovascular disease is one of the leading causes of death in the world. Based on WHO data, in 2019, as many as 17.9 million people died from cardiovascular disease. If early prevention is not carried out immediately, of course, the victims will increase every year. Therefore, wit...
Saved in:
| Main Authors: | Hirmayanti, Ema Utami |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ikatan Ahli Informatika Indonesia
2025-04-01
|
| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Subjects: | |
| Online Access: | https://jurnal.iaii.or.id/index.php/RESTI/article/view/6175 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Distributed denial of service (DDoS) classification based on random forest model with backward elimination algorithm and grid search algorithm
by: Mohamed S. Sawah, et al.
Published: (2025-05-01) -
Cardiac Clarity: Harnessing Machine Learning for Accurate Heart-Disease Prediction
by: Sujith Santhosh, et al.
Published: (2025-01-01) -
CABLE NEWS NETWORK (CNN) ARTICLES CLASSIFICATION USING RANDOM FOREST ALGORITHM WITH HYPERPARAMETER OPTIMIZATION
by: Dewi Retno Sari Saputro, et al.
Published: (2023-06-01) -
Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach
by: Jun Zhang, et al.
Published: (2024-10-01) -
A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning
by: Junyao Ding, et al.
Published: (2025-05-01)