Idea:
Epidemic Monitoring with the help of data mining technique.
Aim:
We aim at organising the vast amount of unorganised data with respect to diseases ,patient profiles, etc and aim to get some useful information out of it.
Problem Faced:
The growing number if epidemics which takes a toll on life could be better tackled with more knowledge (useful information) to be had from general unorganised data available to us from hospital records.
Rough Working:(Abstract level)
After getting sufficient permission we get hold of the hospital records of the major hospitals in the city. Then applying the principles of data mining we can search for patterns which could indicate any form of abnormalities. These abnormalities could be any set of data that behave very differently from the mean value.
For instance,
No of cases in particular age group
No of cases in a particular area.
Once we get hold of some pattern, we delve more into the causes, for instance if there are are large no of cholera cases in velachery, we could research on that particular area and findout that its due to the lake pollution over there and appropriate steps can be initiated.
Conclusion:
Knowledge is power & more knowledge about the diseases and patterns unravelled can only help us to tackle it better.
Epidemic Monitoring with the help of data mining technique.
Aim:
We aim at organising the vast amount of unorganised data with respect to diseases ,patient profiles, etc and aim to get some useful information out of it.
Problem Faced:
The growing number if epidemics which takes a toll on life could be better tackled with more knowledge (useful information) to be had from general unorganised data available to us from hospital records.
Rough Working:(Abstract level)
After getting sufficient permission we get hold of the hospital records of the major hospitals in the city. Then applying the principles of data mining we can search for patterns which could indicate any form of abnormalities. These abnormalities could be any set of data that behave very differently from the mean value.
For instance,
No of cases in particular age group
No of cases in a particular area.
Once we get hold of some pattern, we delve more into the causes, for instance if there are are large no of cholera cases in velachery, we could research on that particular area and findout that its due to the lake pollution over there and appropriate steps can be initiated.
Conclusion:
Knowledge is power & more knowledge about the diseases and patterns unravelled can only help us to tackle it better.
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