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Updated: Feb 14, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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機械学習と説明可能なAIをHRアナリティクスに統合して,従業員の消耗を予測する

Maytha Al-Ali1, Majed Alwateer2, Shatha Abed Alsaedi2

  • 1College of Business, Zayed University, Dubai, 19282, UAE.

Scientific reports
|February 12, 2026
PubMed
まとめ

従業員の attrition を予測することは,保持のために非常に重要です. この研究は,SHAP (SHapley Additive exPlanations) を用いた機械学習の枠組みを導入し,残業や仕事の満足度などの主要な要因を特定し,積極的な人材管理を可能にします.

キーワード:
データバランスに関するテクニック従業員の attrition 予測を予測する.機能の選択 機能の選択ハイパーパラメーター最適化転職分析 転職分析について人事分析における機械学習SHAPの説明可能性

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