A Comparative Analysis of the Effectiveness of Multiple Models for Predicting Heart Failure using Data Mining
One of the most fatal and well-known diseases worldwide, heart disease claims the lives of many people every year. In order to preserve lives, early detection regarding such disease is essential. One of the quickest, practical, and affordable methods of disease detection is Data Mining DM, an artifi...
Saved in:
| Main Authors: | Ahmed Sami Jaddoa, Juliet Kadum, Amaal Kadum |
|---|---|
| Format: | Article |
| Language: | Arabic |
| Published: |
University of Information Technology and Communications
2025-08-01
|
| Series: | Iraqi Journal for Computers and Informatics |
| Subjects: | |
| Online Access: | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/618 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SGO enhanced random forest and extreme gradient boosting framework for heart disease prediction
by: Anima Naik, et al.
Published: (2025-05-01) -
Predicting ICU mortality in heart failure patients based on blood tests and vital signs
by: Yeao Wang, et al.
Published: (2025-06-01) -
Heart disease prediction using autoencoder and DenseNet architecture
by: Norah Saleh Alghamdi, et al.
Published: (2024-12-01) -
Applied of Classification Technique in Data Mining For Credit Scoring
by: Heriyanto Heriyanto, et al.
Published: (2022-12-01) -
A Cleveland model?
by: Alessandro Coppola
Published: (2014-12-01)