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Research | Woodward Lab
Our datasets, funded projects, and publications.
Funded Projects
Building Non-Communicable Eye Disease Research Capacity in India
Role: Co- Investigator
Principal Investigator: Musch, David
Automated Quantitative Ulcer Analysis (AQUA): Diagnosing Organism Types
Role: Principal Investigator
Quantifying Microbial Keratitis to Predict Outcomes: An Imaging Epidemiologic Approach
Role: Principal Investigator
Automated Quantitative Ulcer Analysis Study: Diagnosing Organism Type
Role: Principal Investigator
Developing Standardized Quality Metrics Following Corneal Transplantation Using a Delphi Technique
Role: Co- Investigator
Principal Investigator: Woreta, Fasika
Sustainable Community Clinic Telemedicine-Based Glaucoma Screening
Role: Co- Investigator
Principal Investigator: Newman-Casey, PA
NLP for Quantifying Microbial Keratitis Measures Dataset
The source code can be downloaded by clicking the link for data in the following format:
- NLP for Quantifying Microbial Keratitis Measures Dataset file (py)
- Abbreviation Extension Python file (py)
- Abbreviation Extension CSV file (csv)
- Data Cleaning Python file (py)
- DF All Visits Correction (csv)
- Word Correction (py)
- Wrongly Spelled Correctly Spelled Pair (py)
