Please use this identifier to cite or link to this item: https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1640
Title: Analysis of LDLR Gene to Predict the Risk of Heart Diseases Using Neural Networks
Authors: Gamage, N.P.
Issue Date: 17-Dec-2013
Abstract: Heart disease and stroke kill more than 12 million people worldwide each year. Heart disease is a lifelong condition.once who get it, him or her will always have it. If a person would know the risk of heart disease in the early stage of life, it would be very helpful to take preventive measures. This research is to nd out an e ective way to predict a risk of heart disease in early age. Low density lipoprotein receptor(LDLR) receptor gene sequences of people who have familial hypercholesterolemia(FH) and that of people who do not have familial hypercholesterolemia are extracted and the set of gene sequences are analyzed using neural network to recognize the similarities and di erentiates between these sequences and nally based on the results, possible risks are predicted. Preliminary experiments show promising results.
URI: http://hdl.handle.net/123456789/1640
Appears in Collections:SCS Individual Project - Final Thesis (2008)

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