Construction of a Health Management Model for Early Identification of Ischaemic Stroke in Cloud Computing

Yuying Yang; Qing Chang; Jing Chen; Xiangkun Zhou; Qian Xue; Aixia Song

doi:10.1155/2022/1018056

Construction of a Health Management Model for Early Identification of Ischaemic Stroke in Cloud Computing

J Healthc Eng. 2022 Mar 22:2022:1018056. doi: 10.1155/2022/1018056. eCollection 2022.

Authors

Yuying Yang¹, Qing Chang², Jing Chen³, Xiangkun Zhou⁴, Qian Xue², Aixia Song²

Affiliations

¹ Stroke Center Office, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei 075000, China.
² Department of Neurology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei 075000, China.
³ Imaging Department, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei 075000, China.
⁴ Information Section, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei 075000, China.

Abstract

Knowledge discovery and cloud computing can help early identification of ischaemic stroke and provide intelligent, humane, and preventive healthcare services for patients at high risk of stroke. This study proposes constructing a health management model for early identification and warning of ischaemic stroke based on IoT and cloud computing, and discusses its connotation, constructive ideas, and research content so as to provide reference for its health management in order to develop and implement countermeasures and to compare the awareness of early stroke symptoms and first aid knowledge among stroke patients and their families before and after the activity. The rate of awareness of early symptoms and first aid among stroke patients and their families increased from 36% to 78%, and the difference was statistically significant (P < 0.05) before and after the activity.

Publication types

Research Support, Non-U.S. Gov't
Retracted Publication

MeSH terms

Brain Ischemia* / diagnosis
Cloud Computing
Humans
Ischemic Stroke*
Stroke* / diagnosis