Perbandingan Algoritma Random Forest, XGBoost, dan Logistic Regression untuk Prediksi Risiko Kekambuhan Kanker Tiroid
Thyroid cancer, although relatively rare (0.85-2.5% of all cancer cases), is of serious concern due to its higher prevalence in women and challenges in diagnosis due to limitations of conventional methods such as fine-needle aspiration biopsy and ultrasound. This study aims to predict the risk of th...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Universitas Hamzanwadi
2025-04-01
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| Colecção: | Edumatic |
| Assuntos: | |
| Acesso em linha: | https://e-journal.hamzanwadi.ac.id/index.php/edumatic/article/view/29664 |
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