Main Reference PaperAdaptive weighted fuzzy rule-based system for the risk level assessment of heart disease, Applied Intelligence, 2017 [Java/Python/R]
  • A fuzzy system is proposed for the prediction of heart disease’s risk levels. The prediction is based on the following algorithms such as Genetic Algorithm, modified DMS-PSO and ensemble technique. These models are applied to the set of critical attributes which can assist the heart disease diagnosis. Then it finds out the knowledge in the form of decision rules using the Genetic Algorithm.

+ Description
  • A fuzzy system is proposed for the prediction of heart disease’s risk levels. The prediction is based on the following algorithms such as Genetic Algorithm, modified DMS-PSO and ensemble technique. These models are applied to the set of critical attributes which can assist the heart disease diagnosis. Then it finds out the knowledge in the form of decision rules using the Genetic Algorithm.

  • To predict the diagnosis of heart disease.

  • To select the optimal set of attributes from the preprocessed dataset.

  • To handle the missing data in health-disease data.

+ Aim & Objectives
  • To predict the diagnosis of heart disease.

  • To select the optimal set of attributes from the preprocessed dataset.

  • To handle the missing data in health-disease data.

  • The proposed work enhances the health-disease analysis by an effective feature selection mechanism is contributed.

+ Contribution
  • The proposed work enhances the health-disease analysis by an effective feature selection mechanism is contributed.

  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

+ Software Tools & Technologies
  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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