Prediksi Gagal Jantung Menggunakan Artificial Neural Network
Cardiovascular disease or heart problems are the leading cause of death worldwide. According to WHO (World Health Organization) every year there are more than 17.9 million deaths worldwide. In previous studies, there have been many studies related to the application of machine learning to predict he...
Saved in:
| Main Author: | Simeon Yuda Prasetyo |
|---|---|
| Format: | Article |
| Language: | Indonesian |
| Published: |
STMIK Palangkaraya
2023-03-01
|
| Series: | Jurnal Saintekom |
| Subjects: | |
| Online Access: | https://ojs.stmikplk.ac.id/index.php/saintekom/article/view/379 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rehabilitasi Fisioterapi Fase II pada Pasien Gagal Jantung Kongestif: Studi Kasus
by: Eva Arnaz Sari, et al.
Published: (2025-07-01) -
Perancangan Sistem Pendukung Keputusan Untuk Prediksi Penerima Beasiswa Menggunakan Metode Neural Network Backpropagation
by: Ade Pujianto, et al.
Published: (2018-05-01) -
PREDIKSI PENGGUNAAN BANDWIDTH MENGGUNAKAN ELMAN RECURRENT NEURAL NETWORK
by: Jefri Radjabaycolle, et al.
Published: (2016-12-01) -
Elements of artificial intelligence in a predictive personalized model of pharmacotherapy choice in patients with heart failure with mildly reduced ejection fraction of ischemic origin
by: O. A. Osipova, et al.
Published: (2023-09-01) -
Rasa Haus pada Pasien Gagal Jantung di Indonesia
by: Septa Meriana Lumbantoruan, et al.
Published: (2021-12-01)