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Briefly describe the project goal:
Attempt to make a model of drug overdosing using a similar manner as the infectious disease modelPerform some machine learning methods on datasets regarding opioid overdoses and see what information we can glean from that
Finding what regression would be best to use
Mention who will be responsible for which parts of the project.
Resources:
Papers of models that have been done for drug abuse:
http://www.emcdda.europa.eu/publications/monographs/modelling_en
https://www.ncbi.nlm.nih.gov/books/NBK64182/
https://www.sciencedirect.com/science/article/pii/003801217790012X
Shows data for drug overdose deaths in the US, comparing 2016 and 2017
https://www.cdc.gov/nchs/products/databriefs/db329.htm
Categorizes data by different drug uses; includes data within certain age groups as well
https://drugabuse.com/statistics-data/
https://github.com/JSaenz4/DrugAbuse/blob/master/data%20miner%20and%20tableau%20resources/workflow.xml
Probably not enough accessible data
Some data about drug overdoses and over-prescribing
https://www.kaggle.com/apryor6/us-opiate-prescriptions
https://www.kaggle.com/cdc/vsrr-provisional-drug-overdose-death-counts
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