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Development of a software for heart disease in patient using BAT features selection and back propagation Neural Network Algorithm

 Department: Computer Science  
 By: usericon mcsamwel  

 Project ID: 8421
   Rating:  (5.0) votes: 1
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   Price:₦4000
Abstract
Heart is the main part of our body. Our life depends on the working of the heart. If the heart fails to work, it will affect the other parts of our body including brain, kidney etc. Heart disease is the term that indicates the non-functioning of the heart. Several factors increase the risk of heart disease which includes cholesterol, blood pressure, and lack of physical exercise, smoking and obesity. The World Health Organization (WHO) has estimated that by 2030, nearly 23.6 million people have died because of heart disease. In order to minimize the risk of heart disease prediction of heart disease is a must to discover the disease based on symptoms, physical check-up and signs of the patient body. Discovering and predicting disease is a tedious task in medical environment. Discovery is a multilayered problem which may have negative presumptions and unpredictable effects. So, the HealthCare Industry maintains huge amount of complex data about patients, resources of the hospital, disease diagnosis, electronic patient records, equipment etc. now this becomes the knowledge source for data extraction which can save negative presumptions and unpredictable effects. The good advantage as a result of diagnosis by a doctor is very active and intelligent prediction. Neural Networks has been widely used in the medical field for forecasting disease. NN has been established of their potentials in many domains related with medical forecasting and diagnosis disease. NNs can never replace the human experts but can help them in decision making, classifying, screening and to cross-verify their diagnosis. The dataset has several attributes like age, sex, blood pressure and blood sugar which are used to predict the risk of patients getting a heart disease....
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