人工神经网络在中风预测中的应用

2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS) Pub Date : 2020-05-01 DOI:10.1109/ECBIOS50299.2020.9203638

Chun-Cheng Peng, Shih-Hao Wang, Syue-Ji Liu, Yun-kai Yang, Bo-Han Liao

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引用次数: 8

摘要

中风是全球人口死亡和残疾的主要原因。病人常常因为不良的生活习惯而患中风。近年来，人工智能(AI)已成为各个领域的热门话题，特别是在医疗应用方面。本文利用患者的生理数据，在人工神经网络(ann)中建立脑卒中预测模型。本文提出的人工神经网络方法在1000次交叉验证的情况下，分类准确率可以达到98%左右。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Artificial Neural Network Application to the Stroke Prediction

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.

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来源期刊

2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)

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