Behavioral Risk Factor Surveillance System (BRFSS) data, 2014-2020

Visualized 2015 U.S. health survey data to uncover risk factors and patterns associated with diabetes.

Data analysis project using R and R Studio and data from the 2013 Behavioral Risk Factor Surveillance System (BRFSS).

Mental Health Prediction using BRFSS 2021

Educational diabetes risk awareness web app — XGBoost model trained on BRFSS big data (2020–2024) using Google BigQuery & Cloud Storage + personalized prevention advice powered by Gemini 2.5-flash. Built with Streamlit. For Canada / North America.

Code and models for our ICACIE2019 paper "Prediction of Stroke Risk Factors for Better Pre-emptive Healthcare: A Public-Survey-Based Approach"

This project analyses the 2015 BRFSS health survey to identify key predictors of diabetes risk using data cleaning, statistical analysis, and machine‑learning models. BRFSS stands for Behavioral Risk Factor Surveillance System — a large, annual telephone‑based health survey run by the U.S. Centers for Disease Control and Prevention (CDC).

Data analysis project in R

Using the 2023 BRFSS Survey Data to explore the relationship between reported exercise habits and reported mental health

Association between insurance, PCP, and chronic illness diagnosis in BRFSS

Exploratory Data Analysis of the 2013 BRFSS Data

Primeiro projeto apresentado na disciplina de Inteligência Computacional em Saúde utilizando a base de dados de indicadores de saúde para tarefa de classificação de indivíduos com diabetes.

US College Educated Population vs Geographic Mobility from Abroad

Based on telephone health survey data from the CDC

Analysis of CDC BRFSS 2022 data exploring how sleep duration relates to mental and physical health outcomes.

This project aims to compare traditional Machine Learning methods for tabular data classification, such as Ensemble methods, Decision Trees, and Naive Bayes, with NLP classification methods like Multinomial Naive Bayes, RNNs, and Transformers. We are utilizing survey data from the CDC via the Behavioral Risk Factor Surveillance System (BRFSS)

SQL database and analysis of CDC BRFSS Alzheimer’s & Healthy Aging data examining demographic and lifestyle factors associated with cognitive decline using SQL views, procedures, and functions.

Predicting diabetes risk from BRFSS health indicators with interpretable ML, threshold optimization, and bias/subgroup analysis.

BRFSS-2021 data was used to build a linear regression model to predict BMI & a logistic regression model to predict ACEs exposure in adults 18-79 living in the southern United States