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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: Salma Rihadatul Ais, Ucta Pradema Sanjaya
Format: Artigo
Sprog:Inglês
Udgivet: Universitas Hamzanwadi 2025-04-01
Serier:Edumatic
Fag:
clinical decision
logistic regression
random forest
thyroid cancer
xgboost
Online adgang:https://e-journal.hamzanwadi.ac.id/index.php/edumatic/article/view/29664
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