Open AccessDiscussion on the Construction of Stroke Treatment Network under the Background of Big Data
Author(s) -
ZhengGong Shao
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/4/042068
Subject(s) - stroke (engine) , medicine , epidemiology , china , incidence (geometry) , emergency medicine , mortality rate , disease , intensive care medicine , physical therapy , physical medicine and rehabilitation , geography , mechanical engineering , physics , archaeology , optics , engineering
Stroke, also known as cerebrovascular disease, is one of the diseases with high morbidity, mortality, disability rate and recurrence rate in China. According to the epidemiological survey data released by the Chinese association of stroke, there are 14.94 million stroke patients in China, with a prevalence of 11.14.8 per 100,000 and a incidence of 246.8 per 100,000.Cerebrovascular diseases kill 1.54 million people every year, with a mortality rate of 114.8 per 100,000.It is very important for stroke patients to receive thrombolytic recanalization within “golden hour”. The purpose of this paper is to analyze how the current network model of regional heart and brain therapy is implemented and how to integrate scattered stroke data locally into a complete national data network. Stroke centers can use information analysis technology to identify potential stroke patients and provide timely treatment for stroke patients. This is also a new direction of stroke treatment that this paper aims to explore.