Personalized Nutrition Recommender System for Hypercholesterolemia Patients Using Ontology and SWRL Approaches - Dalam bentuk buku karya ilmiah
ALYA NABILA MULIANI
Informasi Umum
Kode
25.04.535
Klasifikasi
000 - General Works
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Recommender Systems
Dilihat
51 kali
Informasi Lainnya
Abstraksi
<p>Hypercholesterolemia is a condition characterized by elevated levels of low-density lipoprotein (LDL) cholesterol in the blood, increasing the risk of cardiovascular diseases such as coronary heart disease and stroke. Effective management requires a personalized diet that considers individual preferences, dietary restrictions, and medical needs. While previous studies have utilized ontologies and Semantic Web Rule Language (SWRL) in nutrition recommender systems, few have specifically addressed hypercholesterolemia. To fill this gap, this study presents a personalized nutrition recommender system leveraging ontology and SWRL to provide tailored dietary recommendations for hypercholesterolemia patients. The system integrates with a Telegram chat-bot to offer user-friendly interaction and accessibility. By analyzing patient-specific data, including demographic profiles, health conditions, and dietary preferences, the system generates recommendations to improve cholesterol management. Performance evaluation u
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Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | ALYA NABILA MULIANI |
| Jenis | Perorangan |
| Penyunting | Z. K. Abdurahman Baizal |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2025 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
