My Public Coding Projects

UVA ME program shared code and projects

Contents

Shared code for BME 6310 Computational BME Final Project

• Reproduction of figure 3 from the scientific article Reduced model to predict thrombin and fibrin during thrombosis on collagen/tissue factor under venous flow: Roles of γ’-fibrin and factor XIa from the PLOS Journal of Computational Biology

Shared code for STAT 5630 Statistical Machine Learning Final Project

• Analysis of the Opioid Epidemic from the perpective of prescribers
• Data is initially from U.S. Opiate Prescriptions/Overdoses on Kaggle, was downloaded from Centers for Medicare and Medicaid Site, CY 2014, and processed by Dr. Alan Pryor.
• I, along with my team, performed further processing and applied machine learning techniques with the goal of finding the impact of presecription drugs upon drug-related deaths in the United States.

Shared code for SYS 6021 Linear Statistical Models Final Project

• Analysis of aggregate datasets from Centers for Medicare and Medicaid Services regarding dialysis facilties and their performance at these links: Dialysis Adequacy, Dialysis Facility Performance
• I evaluated the various quality metrics and attempted to create linear models to predict the mortality of facilities' patients based upon dialysis facility characteristics.
• I also looked into how demographic or location-specific information may affect mortality.

Presentations and Papers

BME 6310 Computational BME Preliminary Group Presentation

BME 6310 Computational BME Final Group Presentation

STAT 5630 Statistical Machine Learning Final Project Paper

STAT 5630 Statistical Machine Learning Final Project Presentation

SYS 6021 Linear Statistical Models Final Project

Standards

All files are to contain no spaces, just use underscores

• For example: instead of

  "my file.txt"

  use

  "my_file.txt"

All variables are to be lowercase, separated by underscores (not camel case) or periods (in R)

• For example: instead of

  "my var" or "myVar

  use

  "my_var"

All variables are to be descriptive

• For example: instead of

  "model"

  use

  "linear_reg_model"