Artificial Neural Network Model in Stroke Diagnosis

被引：8

作者：

Mirtskhulava, Lela ^{[1
]}

Al-Majeed, Salah ^{[2
]}

Wong, Julian ^{[3
]}

Pearce, Gillian ^{[4
]}

机构：

[1] Iv Javakhishvili Tbilisi State Univ, Dept Comp Sci, Tbilisi, Georgia

[2] Mil Technol Coll, Dept Syst Engn, Muscat, Oman

[3] Natl Univ Heart Ctr, Dept Cardiac Thorac & Vasc Surg, Singapore, Singapore

[4] Aston Univ, Sch Engn & Appl Sci, Birmingham, W Midlands, England

来源：

2015 17TH UKSIM-AMSS INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION (UKSIM) | 2015年

关键词：

stroke; artificial network model; medical diagnosis;

D O I：

10.1109/UKSim.2015.33

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We present a model of an Artificial Neural Network (ANN) applied to stroke diagnosis. We use input data related to stroke that serves as inputs fir the ANN. These data include clinical symptoms together with stroke risk factors. Each type of data provides input that is evaluated and used during the ANN processing. The adaptive learning algorithm can he used with a plethora of types of medical data and integrated into categorized outputs.

引用

页码：50 / 53

页数：4

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