Projects
Predictive Analytics to Support HLBC 8-1-1 and HEiDi Triage
The HEiDi service, introduced in April 2020, enhanced the 8-1-1 nursing call flow by incorporating virtual physicians. This integration aimed to improve caller triage, reduce unnecessary urgent in-person ED visits, and prioritize patient safety. The main objectives of our project were (1) to extend the HEiDi physician expertise to the 8-1-1 nurse triage model to further reduce urgent in-person ED visits safely and reliably; (2) to gain insights on the most important features for the prediction task; (3) to identify any patterns in predicting two major classes.
Shiny suicide_indicator_r Dashboard
Shiny suicide_indicator_r Dashboard analyzes the suicide rates and related socio-economic factors in different regions of the world.
Dash suicideWatch Dashboard
The suicideWatch Dash app provides visualizations and statistics on the number of suicides and suicide rates for different age groups and genders in various countries.This Dash application is a little cuisine of our bigger Shiny application build upon the same data set.
The Purpose of an Education Isn’t What You Think it Is
Personal experience of the Master of Data Science program at the University of British Columbia.
Inferential Study Identifying Factors Associated with Heart Diseases
The project identifies factors associated with heart disease by analyzing demographic and health factors using permutation and Chi-Squared tests. By the end of this study age, maximum heart rate achieved, and ST depression induced by exercise were found to be significantly associated with heart disease.