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Updated: Feb 17, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Rhabdomyolysisにおける有害な結果を予測するための説明可能なAIベースの臨床意思決定支援システムへ

Fulden Cantaş Türkiş1, Bugra Varol2, Yalcin Golcuk3

  • 1Department of Biostatistics, Muğla Sıtkı Koçman University, Muğla, Turkey.

Informatics for health & social care
|February 16, 2026
PubMed
まとめ

この研究では,ラブドミオリシス患者の重度のアウトカムを予測する説明可能なAIモデルを開発し,急性腎臓損傷と死亡率の早期リスク層化を改善しました. このモデルは,よりよい臨床的意思決定支援のためのリアルタイムのリスクスコアを提供します.

キーワード:
臨床的意思決定支援システムラボドミヨリシス (Rhabdomyolysis) とは急性腎臓損傷による急性腎臓損傷説明可能な人工知能予測モデリング

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