Analytical Study Using Data Mining for Periodical Medical Examination of Employees

被引：0

作者：

Waghmare, Kiran ^{[1
]}

Pai, Anusha R. ^{[1
]}

机构：

[1] Padre Conceicao Coll Engn, Dept Comp Engn, Verna 403722, Goa, India

来源：

PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING | 2013年 / 174卷

关键词：

Intelligent system; Data mining; Decision tree; PME analysis;

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：

In the recent years, intelligent systems proved to be a useful and successful tool which is often been used for decision support, data mining and knowledge discovery in medicine. It is of great practical significance to conduct a scientific, accurate, and complete analysis, assessment- or even early warning on the safety of current and future medicines. In this paper, we present the results of intelligent data analysis used for determining trends in lifestyle related diseases like Diabetes, Hypertension, Cardio-vascular diseases, Backache, Dyslipidaemia, Hearing impairment and other disease category. The study included Periodical Medical Examination (PME) data on 300 employees of public sector enterprise dealing with oil exploration in India.

引用

页码：221 / 227

页数：7

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