Difference between revisions of "Predicting Risk of Opioid Use Disorder"

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(Created page with "Student Researcher: Zach Farahany Mentor: Dr. Praveen Madiraju")
 
 
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Mentor: Dr. Praveen Madiraju
 
Mentor: Dr. Praveen Madiraju
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Research goals: Gain insight into how Covid-19 has been affecting the population of opioid users. Inspect non-opioid and opioid using populations for statistically significant differences involving the prevalence of Covid-19. Implement multiple machine learning models to select for significant features
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== Project Plan ==
 +
===Week 1===
 +
*Complete Orientation
 +
*Begin Literature reviews
 +
*Learn basic machine learning
 +
*Gain an outlook on research goals
 +
===Week 2===
 +
*Continue systematic literature review of relevant articles
 +
*Responsible conduct training
 +
*Complete CITI training
 +
*Technical writing training
 +
===Week 3===
 +
*Continue systematic literature review of relevant articles
 +
*Prepare presentation
 +
*Perform data cleaning
 +
===Week 4===
 +
===Week 5===
 +
*Good presentations talk
 +
*Mini-presentation
 +
===Week 6===
 +
===Week 7===
 +
*Data ethics talk
 +
*Create poster
 +
===Week 8===
 +
===Week 9===
 +
===Week 10===
 +
*Presentation
 +
*Poster session
 +
*Papers due

Latest revision as of 01:21, 5 June 2021

Student Researcher: Zach Farahany

Mentor: Dr. Praveen Madiraju

Research goals: Gain insight into how Covid-19 has been affecting the population of opioid users. Inspect non-opioid and opioid using populations for statistically significant differences involving the prevalence of Covid-19. Implement multiple machine learning models to select for significant features


Project Plan

Week 1

  • Complete Orientation
  • Begin Literature reviews
  • Learn basic machine learning
  • Gain an outlook on research goals

Week 2

  • Continue systematic literature review of relevant articles
  • Responsible conduct training
  • Complete CITI training
  • Technical writing training

Week 3

  • Continue systematic literature review of relevant articles
  • Prepare presentation
  • Perform data cleaning

Week 4

Week 5

  • Good presentations talk
  • Mini-presentation

Week 6

Week 7

  • Data ethics talk
  • Create poster

Week 8

Week 9

Week 10

  • Presentation
  • Poster session
  • Papers due