Prediction of mortality in patients with cardiovascular disease using data mining methods

被引：4
|
作者：
Imamovic, Damir [1 ]
Babovic, Elmir [1 ]
Bijedic, Nina [1 ]
机构：
[1] Univ Dzemal Bijedic, Fac Informat Technol, Mostar, Bosnia & Herceg
来源：
2020 19TH INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH) | 2020年
关键词：
data mining; healthcare analytics; predicting; decision tree; neural networks; logistic regression;
D O I：
10.1109/infoteh48170.2020.9066297
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Healthcare information systems store a huge amount of patient data, so the trend of the use of data mining in healthcare is on the rise. Heart and blood vessel diseases are a leading cause of mortality both worldwide and here in Bosnia and Herzegovina, and prevention, surveillance and treatment are of great public health importance. Based on data on patients with cardiovascular disease, collected from 2011 to 2017 at Mostar Hospital, models for mortality prediction using techniques for data tree mining, neural network and logistic regression are presented. The aim of this research is to compare the effectiveness of these methods in modeling the effectiveness of predicting mortality in patients with cardiovascular disease.
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收藏
页数：4
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