Research progress of data mining techniques in digital health of stroke patients
10.3760/cma.j.cn115682-20230904-00880
- VernacularTitle:数据挖掘技术在脑卒中患者数字健康中的研究进展
- Author:
Kexin WANG
1
;
Xiaoran HUO
;
Yuanpu LIU
;
Yingpu FENG
Author Information
1. 河南大学护理与健康学院，开封 475000
- Keywords:
Review;
Stroke;
Data mining;
Digital health;
Nursing care
- From:
Chinese Journal of Modern Nursing
2024;30(15):2066-2070
- CountryChina
- Language:Chinese
-
Abstract:
With the continuous development of modern information technology, the healthcare system has entered the digital health era. The collection and reuse of huge amount of data need to be realized by data mining technology. Due to the high morbidity of stroke, it has accumulated a large amount of data in clinical work, and efficient and precise management of patients can be realized through in-depth mining of health information data. This paper reviewed the current status of the application of data mining in the field of stroke digital health, and summarized the problems in the application and put forward the outlook, in order to provide a reference for the application of data mining technology in stroke digital health.
