Optimizing PSO for classification: comparison of Naïve Bayes and C4.5 for osteoporosis prediction
Osteoporosis is a medical disease marked by a reduction in bone density, which significantly increases the risk of fractures. Osteoporosis patients do not always exhibit symptoms and because current diagnostic techniques have limitations, early detection is frequently needed. The osteoporosis datase...
Saved in:
| Main Authors: | Zulfi Anugerahwati, Sri Lestari |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Mercu Buana
2025-05-01
|
| Series: | Jurnal Ilmiah SINERGI |
| Subjects: | |
| Online Access: | https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/28478 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Perbandingan Algoritma Naive Bayes dan C.45 dalam Klasifikasi Data Mining
by: Yogiek Indra Kurniawan
Published: (2018-10-01) -
Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University
by: Dani Wilian, et al.
Published: (2025-01-01) -
Sentiment Analysis of X Application Users on Bitcoin Using the Naïve Bayes Method Optimized with Particle Swarm Optimization (PSO)
by: Raja Allifin Muhammad, et al.
Published: (2025-07-01) -
Classification Of Prospective Scholarship Recipients Kartu Indonesia Pintar (KIP) With Decision Tree Algorithm And Naïve Bayes
by: Asnimar, et al.
Published: (2022-12-01) -
Improving Automatic Migraine Classification Performance with Naive Bayes
by: Arzum Karataş
Published: (2024-08-01)