Artificial Neural Network Application to the Stroke Prediction

被引：0

作者：

Peng, Chun-Cheng ^{[1
]}

Wang, Shih-Hao ^{[1
]}

Liu, Syue-Ji ^{[1
]}

Yang, Yun-Kai ^{[1
]}

Liao, Bo-Han ^{[1
]}

机构：

[1] Chaoyang Univ Technol, Dept Informat & Commun Engn, 168 Jifeng E Rd, Taichung 413310, Taiwan

来源：

PROCEEDINGS OF THE 2ND IEEE EURASIA CONFERENCE ON BIOMEDICAL ENGINEERING, HEALTHCARE AND SUSTAINABILITY 2020 (IEEE ECBIOS 2020): BIOMEDICAL ENGINEERING, HEALTHCARE AND SUSTAINABILITY | 2020年

关键词：

Prediction; Artificial neural networks; Cerebrovascular disease; Stroke;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Stroke is the cause of death and disability in the global population. Patients often suffer from strokes because poor living habits. In recent years, artificial intelligence (AI) has become a hot topic in various fields, especially in medical applications. In this article, patient's physiological data is used to build model for predicting stroke in an artificial neural networks (ANNs). The ANNs method proposed in this paper can reach about 98% in classification accuracy under the condition of 1000 times cross-validation.

引用

页码：130 / 133

页数：4

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