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Updated: Feb 19, 2026

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
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"グレーゾーン"を特定する:痛みに対する長期オピオイド治療を受けている退役軍人のオピオイド乱用を検出するためのスケーラブルな方法の開発

Colin Macleod1, Caroline Logue2, Kyle Kumbier2

  • 1Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.

Drug and alcohol dependence
|February 17, 2026
PubMed
まとめ

オピオイド乱用のリスクが高い患者を特定することは,オピオイド乱用障害 (OUD) ではないが,挑戦的です. 機械学習モデルは,電子医療記録を使用してこれらの"グレーゾーン"の患者を効果的に識別し,臨床介入を改善します.

キーワード:
オピオイドの乱用について痛み 痛み 痛み 痛み 痛み処方されたオピオイド.リスクの特定 リスクの特定ベテランの退役軍人.

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