Volume 3 Issue 10

DECISION SUPPORT SYSTEM BASED ON SIGNS AND SYMPTOMS USING NEURAL NETWORKS FOR CONGENITAL HEART DISEASE DIAGNOSIS (20150453)

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Authors :
Abstracts : One of the important methods of data analysis is classification. Many real-world problems in various fields, such as business, science, industry, and medicine can be solved using a classification approach. Neural networks have emerged as an important tool for classification. The advantages of neural networks help to efficiently classify these data. In this study, a set of heart disease data is analyzed using a neural network approach. To improve the efficiency of the classification process, a parallel approach was also adopted in preparation.
Pages : 15-20
Downloads : 135
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Modified Date : 2017-10-25
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ASHWINI PRAKASH TANDLE , PROF. A. R. WADHEKAR , "DECISION SUPPORT SYSTEM BASED ON SIGNS AND SYMPTOMS USING NEURAL NETWORKS FOR CONGENITAL HEART DISEASE DIAGNOSIS", JournalNX - A Multidisciplinary Peer Reviewed Journal, Volume 3 Issue 10, ISSN : 2581-4230, Page No. 15-20
Peer reviewed