Difference between revisions of "User:Smcdougall"
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* Conducted background research on opioid epidemic specifically in Wisconsin and Milwaukee County | * Conducted background research on opioid epidemic specifically in Wisconsin and Milwaukee County | ||
'''Week 6''' | '''Week 6''' | ||
| − | + | * Completed EDA for readmission and OUD study | |
| + | * Gathered background information for final paper | ||
| + | * '''Talk: Data Ethics with Dr. Zimmer''' | ||
| + | * Conducted research on logistic regression in Python | ||
| + | * Conducted research on decision trees and random forest in Python | ||
| + | * '''Talk: Creating Posters with Dr. Brylow''' | ||
| + | * Tested logistic regression for both readmission and OUD study | ||
| + | * Completed additional background reading on imbalanced datasets, deep learning with EHR | ||
'''Week 7''' | '''Week 7''' | ||
Revision as of 19:15, 10 July 2020
About
Sarah McDougall is a senior at Bucknell University, located in Lewisburg, Pennsylvania. She is majoring in Applied Mathematical Sciences with a concentration in statistics. Upon graduation, Sarah intends to pursue a career in biomedical data science/data analytics.
University Email: snm009@bucknell.edu
Weekly Work Log
Week 1
- Orientation and REU expectations
- Data Science Boot Camp (Python packages, data visualization, and classification methods)
- Initial meeting with project mentor
- Talk: Good Research Practices
- Brainstormed project goals and milestones
- Completed research on opioid abuse/dependence and opioid use disorder (OUD)
Week 2
- Completed Responsible Conduct of Research (RCR) CITI Training
- Completed Medical College of Wisconsin (MCW) Biomedical Research CITI Training
- Talk: Technical Writing
- Completed research on on statistical analyses of OUD
- Completed research on machine learning methods for predicting OUD, overdose readmissions
- Met with project group about preliminary work, next steps
Week 3
- Watched and read tutorials about scikit-learn Python package
- Completed research on machine earning methods for predicting OUD, overdose readmissions
- Met with project group to discuss datasets and exploratory data analysis
- Talk: Research Presentation by Dr. Praveen + Student Check-in
- Compiled BibTex references
- Began data preprocessing on encounter and diagnosis datasets'
Week 4
- Completed data wrangling and preprocessing for hospital readmission component of project
- Began Exploratory Data Analysis (EDA) for hospital readmission component of project
- Talk: Research Presentation by Dr. Bialkowski + Student Check-in
- Planned approach for data wrangling and preprocessing for OUD component of project
Week 5
- Completed data wrangling and preprocessing for OUD component of project
- Created mini presentation on contributions made toward project so far
- Talk: Good Presentations with Dr. Brylow
- Recorded all preprocessing documentation, and narrowed down potential predictors for machine learning models
- Delivered mini presentation
- Conducted background research on opioid epidemic specifically in Wisconsin and Milwaukee County
Week 6
- Completed EDA for readmission and OUD study
- Gathered background information for final paper
- Talk: Data Ethics with Dr. Zimmer
- Conducted research on logistic regression in Python
- Conducted research on decision trees and random forest in Python
- Talk: Creating Posters with Dr. Brylow
- Tested logistic regression for both readmission and OUD study
- Completed additional background reading on imbalanced datasets, deep learning with EHR
Week 7
Week 8
Week 9
Week 10
