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Updated: Sep 9, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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子宮頸がんリスクを予測するための機械学習とベイジアン信念ネットワークのアプローチ:リスク管理への影響

Khaled Toffaha1, Mecit Can Emre Simsekler1, Andrei Sleptchenko1

  • 1Department of Management Science & Engineering, Khalifa University of Science & Technology, Abu Dhabi, United Arab Emirates.

Journal of multidisciplinary healthcare
|September 2, 2025
PubMed
まとめ

この研究では,機械学習 (ML) とベイジアン信念ネットワーク (BBN) を用いて,子宮頸がんリスクの階層化と早期発見のための予測枠組みを導入し,高い精度を達成しました.

キーワード:
ベイジアン信念ネットワーク癌のリスク要因子宮頸がんのリスク予測デジタル・ヘルス医療の未来機械学習患者の安全性リスク管理

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