Proposed Model for Chest Disease Prediction using Data

EOI: 10.11242/viva-tech.01.02.14

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Vikrant A. Agaskar, Umesh Kulkarni, "Proposed Model for Chest Disease Prediction using Data", VIVA-IJRI Volume 1, Issue 2, Article 14, pp. 1-4, 2019. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.


Chest diseases if not properly diagnosed in early stages can be fatal. Because of lack of skilled knowledge or experiences of real life practitioners, many a times one chest disease is wrongly diagnosed for the other, which leads to wrong treatment. Due to this the actual disease keeps on growing and become fatal. For example, muscular chest pains can be treated for the heart disease or COPD is treated for Asthma. Early prediction of chest disease is crucial but is not an easy task. Consequently, the computer based prediction system for chest disease may play a significant role as a pre-stage detection to take proper actions with a view to recover from it. However the choice of the proper Data Mining classification method can effectively predict the early stage of the disease for being cured from it. In this paper, the three mostly used classification techniques such as support vector machine (SVM), k-nearest neighbour (KNN) and artificial neural network (ANN) have been studied with a view to evaluating them for chest disease prediction.


KNN, SVM, Data Analysis, ANN.


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