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Updated: May 17, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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在初级保健环境中改善青少年和年轻成年男性的性传播感染查

Jessica Addison1,2, Ramy Yim3, Ben Ethier3

  • 1From the Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, Mass.

Pediatric quality & safety
|May 15, 2025
PubMed
概括

实施电子健康记录警报显著改善了青少年和年轻成人 (AYA) 男人的克拉米迪亚和淋病 (GC/CT) 查率,将查率从73.5%提高到83.5%. 这种有针对性的干预对于在这个人口群体中减少性传播感染至关重要.

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