関連する実験動画

Updated: Sep 9, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

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電子医療記録における全人の健康を測定するための強化された検証と標的型サンプリングによるデータ課題の克服

Sarah C Lotspeich1, Sheetal Kedar2, Rabeya Tahir2

  • 1Department of Statistical Sciences, Wake Forest University, Winston-Salem, 27109, NC, USA.

Journal of biomedical informatics
|September 4, 2025
PubMed
まとめ

この研究では,電子医療記録の標的型検証により,全身の健康を測るアロスタティック・ロード・インデックス (ALI) のデータ品質が向上することが示されています. 医療利用率を予測するのに役立ちます

キーワード:
グラフのレビュー計算可能なフェノタイプデータ監査測定誤差欠けているデータ残留サンプリング2段階の設計

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