Early Detection of Heart Disease with Graph Neural Network - Dalam bentuk pengganti sidang - Artikel Jurnal
NAUFAL YULIANA AZHAR GUNAWAN
Informasi Umum
Kode
24.04.5754
Klasifikasi
000 - General Works
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Deep Learning
Dilihat
71 kali
Informasi Lainnya
Abstraksi
Heart disease is one of the most serious public health problems due to its high morbidity and mortality that challenges the ability to identify early symptoms in a timely manner. In the medical field, early detection of heart disease has received a lot of attention. In this study, the GNN model was used in a collection of heart disease datasets from UCI Machine Learning consisting of 14 main attributes used to perform the analysis. The performance of GNN is evaluated with confusion matrix and the result of GNN can reach 78.33%.
- CII4E4 - TUGAS AKHIR
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
Anda harus log in untuk mengakses flippingbook
Pengarang
| Nama | NAUFAL YULIANA AZHAR GUNAWAN |
| Jenis | Perorangan |
| Penyunting | Kemas Rahmat Saleh Wiharja, Hasmawati |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2024 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
Download / Flippingbook
belum pernah diunduh
belum pernah diunduh
belum pernah diunduh
belum pernah diunduh
belum pernah diunduh
belum pernah diunduh
diunduh 2 kali
belum pernah diunduh
belum pernah diunduh
belum pernah diunduh
belum pernah diunduh
belum pernah diunduh
belum pernah diunduh
belum pernah diunduh
