Projects

Primary Objective: Analyze the effect of hospitalization data (diagnoses,co-morbidites, length of stay, etc.) and demographic factors on mortality rate
Build machine learning models to predict mortality after hospitalization
Perform logsitic regression to quantify the effect of features on the short-term risk of death

Primary Objective: Analyzed features such as patient demography, severity of disease, and comorbidities to predict inpatient mortality using the National Inpatient Sample (NIS) dataset
Compared the effectiveness and accuracy of three different prediction models (logistic, random forest, LASSO) in determining patient mortality in hospitals throughout the United States.

Primary Objetive: Analyze the effect of population density on the number of deaths due to Covid-19 in each state in the US
Visualize the relationship between age, state, and population density on Covid-19 deaths
Determine if the relationships found are statistically significant using a poisson regression model