An Empirical Framework for Spatial Diseases Analysis and Patient Care Recommendation

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Disease detection in a region is very essential for minimizing the effects of the diseases in a particular region. After
analysing patient data stored in the medical database, we can detect the disease affected region by using statistical
formula. Then find the regions which are affected heavily by which disease and also types and religions of people
affected more on that location. This system can also provide recommendations for patients about those diseases so
that they can be aware of the disease. And finally, by using Naïve Bayes algorithm predict the disease which will
occur on which location in near future on basis of present information. The user can easily detect disease affected
region by that location and also get information about which disease is probable to occur on the specific location.
They can gather knowledge about cause and precaution of those diseases from the proposed system. Finally, the
death rate in a region can be decreased by detecting the disease affected the location and get recommendations from
this system.

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