Banu Priya Raya Krishnamoorthy

Master's

Computer Science

The Ohio State University Wexner Medical Center

Graduate Research Associate

- Implemented the BERT LLM model to extract medical entities and classify cardiac arrest types from complex patient records, enhancing the accuracy of patient data categorization and improving analysis efficiency by 30%. - Developed an algorithm to calculate medication response time and applied Mann-Whitney U tests, IQR analysis, and stratified analysis using Matplotlib and MLlib to assess differences in patient responses, discovering breathing patterns linked to survival probability. - Applied random forest model to predict survival rates with 92.4% accuracy, identifying critical survival determinants based on resuscitation efforts, and performed time series analysis to assess how these determinants influence patient outcomes over time. - Developed a Python module with Apache Airflow, Pandas, and NumPy to automate processing of 5,500+ longitudinal capnography records, improving efficiency by 40% through data pipeline optimization and structured transformation. - Published work in JAMA Network on analyzing and calculating slope values for end-tidal CO2 during resuscitation, offering insights into its dynamics as a predictor of return of spontaneous circulation (ROSC). Paper Title: Temporal Trends in End-Tidal Capnography and Outcomes in Out-of-Hospital Cardiac Arrest A Secondary Analysis of a Randomized Clinical Trial