CARDIOVASCULAR DISEASE DIAGNOSIS SYSTEM USING SUBTRACTIVE CLUSTERING AND ARTIFICIAL NEURAL NETWORK

CARDIOVASCULAR DISEASE DIAGNOSIS SYSTEM USING SUBTRACTIVE CLUSTERING AND ARTIFICIAL NEURAL NETWORK

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CARDIOVASCULAR DISEASE DIAGNOSIS SYSTEM USING SUBTRACTIVE CLUSTERING AND ARTIFICIAL NEURAL NETWORK - CodeMint Mint for Sale
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The aim of this study is to develop a system that diagnoses cardiovascular disease using Subtractive Clustering and Artificial Neural Networks Algorithms. The objectives are to:      
  • Cluster cardiovascular disease dataset using Subtractive Clustering.
  •  Classify the clustered cardiovascular disease dataset using Artificial Neural Network (ANN).   
  •  Evaluate the performance on the system.
The scope of this study is to diagnose cardiovascular disease using subtractive clustering and artificial neural network (ANN). Cardiovascular disease data will be collated. The collated data will be converted to numerical values follow by pre-processing and clustering of data using subtractive clustering. The clustered data will then be used to train the system using ANN and the performance of the system will be evaluated. This study is limited to diagnosing disease of the cardiovascular system using subtractive clustering and ANN. Furthermore, this study did not consider various values or neighborhood radius in subtractive clustering algorithm.
The simulation tool used for implementing the methods is MATrix LABoratory (MATLAB) R2013a  on  a  computer  system  with  64  bits  Windows  10  operating  system  with  memory capacity of 4GB and Intel (R) Core (TM) i5-M520 2.40GHz processor speed.






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