Development and validation of a deep neural network for predicting coronary heart disease in hypertensive patients using 24-hour ambulatory blood pressure monitoring: a retrospective study - Poll - MDSpire
Coming Soon: Introducing MDSpire News. Learn more
Conexiant’s news site is now MDSpire News. Learn more

Creation and assessment of a deep learning model for forecasting coronary heart disease in patients with hypertension utilizing 24-hour ambulatory blood pressure monitoring: a retrospective analysis

  • By

  • Li Wang

  • Ji Song

  • Yingzhu Xie

  • Yaqi Liu

  • Liangbang Zeng

  • July 15, 2026

Share

Original Source(s)

Development and validation of a deep neural network for predicting coronary heart disease in hypertensive patients using 24-hour ambulatory blood pressure monitoring: a retrospective study

  • by Li Wang, Ji Song, Yingzhu Xie, Yaqi Liu, Liangbang Zeng

  • July 15, 2026

Related Content

Editorial: introducing special collection on cancer and cardiovascular disorders

Case Report: Delirium and complications resulting from the abuse of compound liquorice tablets

Identifying risk individuals for heart failure diagnosis within two years in the adult population in southern Sweden using gender, age, multimorbidity level, and socioeconomic status