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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 108
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Total Authors : 18167
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| Paper Title: | PREDICTION OF HEART DISEASE USING HYBRID MODEL : A Computational Approach |
| Authors Name: | G V N Vara Prasad , Dr. Kunjam Nageswara Rao , G sita Ratnam |
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IJRTI_180652
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| Published Paper Id: | IJRTI1812020 |
| Published In: | Volume 3 Issue 12, December-2018 |
| DOI: | |
| Abstract: | One in each four passings in the country happens because of heart disease. The demise rate of heart ailments are more because of absence of prior prediction. Medical databases contain huge amount of patient therapeutic information having some concealed information. The main aim is to predict the heart disease with the help of dataset which is having 14 attributes (age, gender, resting blood pressure, cholesterol, chest pain type, fasting blood sugar, resting cardiographic results, thalach etc.,) by applying advanced Machine learning techniques on it. Heart disease dataset is taken from the UCI(University of California,irvine) repository. The proposed methodology is to combine clustering and classification algorithms to form a Hybrid Model for prediction of heart diseases. In this model k-means clustering is used as a clustering algorithm to cluster the dataset as two clusters and multilayer perceptron, random forest, gradient boosting tree as classification algorithms. After the dataset is clustered as two clusters by using k-means clustering algorithm, the clustered data is used to train the models which are implemented by multilayer perceptron, random forest and gradient boosting tree. The results acquired by three models are compared and analysed. Combination of K-means clustering and multilayer perceptron giving a more accuracy rate. |
| Keywords: | Multilayer Perceptron, classification, Clustering, K-Means, Hybrid Model,Random Forest,Gradient Boosting Tree. |
| Cite Article: | "PREDICTION OF HEART DISEASE USING HYBRID MODEL : A Computational Approach", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 12, page no.114 - 123, December-2018, Available :http://www.ijrti.org/papers/IJRTI1812020.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1812020
Registration ID:180652
Published In: Volume 3 Issue 12, December-2018
DOI (Digital Object Identifier):
Page No: 114 - 123 Country: Visakhapatnam, Andhrapradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1812020 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1812020 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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