Extracting Association Rules from Medical Health Records Using Multi-Criteria Decision Analysis

作者: K.S Lakshmi , G. Vadivu

DOI: 10.1016/J.PROCS.2017.09.137

关键词:

摘要: Abstract Medical Health Records serves as rich knowledge sources for data mining. The availability of enormous amounts medical can be utilized to extract constructive facts using various mining techniques. Numerous researches have been conducted in the field In this paper, a novel approach is suggested association rules from records by choosing best rule algorithm multiple-criteria decision analysis. purpose project discover correlation between diseases, diseases and symptoms, medicines.

参考文章(8)
Vincenza Carchiolo, Alessandro Longheu, Michele Malgeri, Using Twitter Data and Sentiment Analysis to Study Diseases Dynamics international conference on information technology. pp. 16- 24 ,(2015) , 10.1007/978-3-319-22741-2_2
Yugal Kumar, G. Sahoo, Prediction of different types of liver diseases using rule based classification model Technology and Health Care. ,vol. 21, pp. 417- 432 ,(2013) , 10.3233/THC-130742
Jung-Kyu Choi, Chan Il Yoo, Kyung-Ah Kim, Yonggwan Won, Jung-Ja Kim, Study on Datamining Techinique for Foot Disease Prediction 2014 International Conference on IT Convergence and Security (ICITCS). pp. 1- 4 ,(2014) , 10.1109/ICITCS.2014.7021816
S. Vijayarani, S. Sudha, An Efficient Clustering Algorithm for Predicting Diseases from Hemogram Blood Test Samples Indian journal of science and technology. ,vol. 8, ,(2015) , 10.17485/IJST/2015/V8I17/52123
Wendy W. Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, Bruce G. Buchanan, A simple algorithm for identifying negated findings and diseases in discharge summaries Journal of Biomedical Informatics. ,vol. 34, pp. 301- 310 ,(2001) , 10.1006/JBIN.2001.1029
J. Thomas, R Theresa Princy, Human heart disease prediction system using data mining techniques international conference on circuit power and computing technologies. pp. 1- 5 ,(2016) , 10.1109/ICCPCT.2016.7530265
Nuno Pombo, Nuno Garcia, Kouamana Bousson, Classification techniques on computerized systems to predict and/or to detect Apnea Computer Methods and Programs in Biomedicine. ,vol. 140, pp. 265- 274 ,(2017) , 10.1016/J.CMPB.2017.01.001