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Updated: Feb 18, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

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mHealthベースの疾患管理プログラムにおける静脈動脈血圧の変化に関する機能エンジニアリングによる予測要因の調査

Masashi Kanai1,2, Sangjun Park3, Takahiro Miki2

  • 1Institute of Transdisciplinary Sciences for Innovation, Kanazawa University, Kanazawa, Japan.

Hypertension research : official journal of the Japanese Society of Hypertension
|February 16, 2026
PubMed
まとめ

モバイルヘルスケアプログラムの機能エンジニアリングにより,静脈動脈血圧の変化の早期予測が改善されました. しかし,血圧の予測のためのモデルの全体的な性能は,これらのエンジニアリングされた機能があるか否かにかかわらず,時間とともに類似し続けました.

キーワード:
血圧の変化 血圧の変化デジタルバイオマーカーの数字化デジタル高血圧 デジタル高血圧とは実施性高血圧を適用するmHealth mHealthは,mHealthとして利用されている.機械学習 (Machine Learning) とは,機械学習 (Machine Learning) とは,機械学習 (Machine Learning) と呼ばれるものです.モーニング高血圧予測 予測する 予測する

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