Revision as of 21:49, 31 July 2020 by Smcdougall (Talk | contribs)

Jump to: navigation, search


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 / healthcare analytics.

University Email:

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

  • Completed Random Forest, Support Vector Machine, and AdaBoost classification
  • Did research on tuning hyperparameters and feature selection for classification models
  • Read additional papers on deep learning with EHR (specifically RNN, LSTM, GRU)
  • Completed deep learning tutorials using TensorFlow and Keras
  • Added additional fields to datasets for capturing medications

Week 8

  • Transformed data frames to desirable format for deep learning model
  • Conducted research on RNN, LSTM, and GRU
  • Retrained all models and captured prediction results in Excel sheet
  • Talk: Grad School - How and Why?
  • Created charts of summary statistics for final paper
  • Wrote related work, data preprocessing, limitations, and future work sections of paper

Week 9

Week 10