brfss
There are 13 repositories under brfss topic.
bcapistrant/brfssR
Behavioral Risk Factor Surveillance System (BRFSS) data, 2014-2020
hdmcspadden/StatisticsInRProject
Data analysis project using R and R Studio and data from the 2013 Behavioral Risk Factor Surveillance System (BRFSS).
himharis/Predict-Mental-Health-Crisis-using-Surveillance-Data-from-BRFSS-2021
Mental Health Prediction using BRFSS 2021
afergus93/wa-cannabis-hca
Cross-sectional analysis of the association between poor mental health days, healthcare access and cannabis in WA State using BRFSS data from the CDC.
chiajieh/brfssdata
Exploratory Data Analysis of the 2013 BRFSS Data
DebayanThesis/Prediction-Stroke-BRFSS-ICACIE2019
Code and models for our ICACIE2019 paper "Prediction of Stroke Risk Factors for Better Pre-emptive Healthcare: A Public-Survey-Based Approach"
evansochola/disease-risk-prediction
Based on telephone health survey data from the CDC
GeorgeM2000/CDC-SMART-BRFSS-City-and-County-Data-Analysis
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)
jgcorliss/statistics-with-r-project1
Data analysis project in R
sb398806/Possible-Predictors-of-BMI-and-ACEs
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
Syverts1/Education_vs_GeographicMobility
US College Educated Population vs Geographic Mobility from Abroad
ablack3/STA580_proj
Association between insurance, PCP, and chronic illness diagnosis in BRFSS
intel-comp-saude-ufes/2024-1-P1-classificador-diabetes
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.