DST usecase - UMKCNSF/UMKC--HACKATHON GitHub Wiki
Opioid OverdosePredictive Model
Possible steps involved in the process
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Pre-process the data
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Explore the data
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Build a model –use training /test subsets
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Evaluate the performance of your model/ Improve it
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Visualize results
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The Build process flow of the dynamic application
Extra Credit:
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Extra credit if you can build a twitter feed that identifies the areas of town so Pharmacist and Responders can monitor and apply the tactical action.
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Extra credit if you can apply text mining from Twitter to also look for possible heavy areas of usage of Opioids/possible overdoses.Possible