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Death Prediction And Analysis Using Web Mining Technique

DEATH PREDICTION AND ANALYSIS USING WEB MINING TECHNIQUE

  • Project Code :
  • TCMAJA133
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DEATH PREDICTION AND ANALYSIS USING WEB MINING TECHNIQUE

Death Prediction and Analysis Using Web Mining Techniques

Abstract:-

It might have happened so many times that you or someone you know might need doctor’s help immediately, but they are not available due to some reason. Healthcare sector today generates a large amount of complex data about death cause, disease diagnosis, electronic patient records, etc. In this paper prediction and the causes of death event is done using web mining techniques (UN supervised techniques). In the proposed approach, large-scale digital histories are captured for duration of 18 years from news reports of Queensland Government archive to make real-time predictions about the likelihoods of future death and disease events of interest. In addition to the news corpora, data from freely available web resources and multiple web resources are used. Death prediction is performed using various classifiers and results are analyzed using error as a metric. Experimental results demonstrate the efficiency of the best forecasting and prediction. It then processes user specific details to check for various illness that could be associated with it. Here we use some intelligent data mining techniques to guess the most accurate illness that could be associated with patient’s details. Based on result, system automatically shows the result specific doctors for further treatment. The system allows users to view doctor’s details. The system can be used in case of emergency.

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