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A Survey on Various Disease Prediction Techniques

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A Survey on Various Disease Prediction Techniques

C. Leancy Jannet | G. Sumalatha


C. Leancy Jannet | G. Sumalatha "A Survey on Various Disease Prediction Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6, October 2018, pp.734-737, URL: https://www.ijtsrd.com/papers/ijtsrd18624.pdf

An analysis of various diseases have been predicted using multiple data mining and text mining techniques. In this article we are going to discuss about 6 prediction techniques. Using gene expression pattern we predict the disease outcome and implementation of pathway based approach for classifying disease based on hyper box principles, we also present a novel hybrid prediction model with missing value imputation (HPM-MI) which analyze imputation using simple k-means clustering. A technique based on CCAR (Constraint Class Association Rule) has been used for reducing time consumption in prediction of a particular disease. We have discussed about text mining technique and their applications. Another technique has also been studied about hyper triglyceride mia from anthropometric measures which diverge according to age and gender. Using multilayer classifiers for disease prediction we can achieve high diagnosis accuracy and high performance.

Prediction, Genes, Data Mining, Text Mining, Hyper triglyceride mi a, Missing Values, Hmv and Classifiers

Volume-2 | Issue-6, October 2018
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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