DST usecase

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UMKCNSF edited this page Apr 12, 2018 · 3 revisions

Opioid OverdosePredictive Model

Possible steps involved in the process

Pre-process the data
Explore the data
Build a model –use training /test subsets
Evaluate the performance of your model/ Improve it
Visualize results
The Build process flow of the dynamic application

Extra Credit:

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.
Extra credit if you can apply text mining from Twitter to also look for possible heavy areas of usage of Opioids/possible overdoses.Possible

datasets:

https://bchi.bigcitieshealth.org/cities/79/17612

https://www.cdc.gov/nchs/nvss/vsrr/drug-overdose-data.htm