According to the CDC, heart disease is one of the leading causes of death for people of most races in the US. Our ML project leads to a better understanding of how we can predict heart disease.
In this repository, we explore the use of BRFSS dataset for descriptive analysis.
Predicting self-reported health in seniors who participated in the Behavioral Risk Factor Surveillance System (CRFSS) 2015 Survey.
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.
Possible projects on Behavioral Machine Learning
Final Project for Coursera [Introduction to probability and Data with R] by Duke University
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)
State-Level Risk Factor Analysis of Mental Health Wellbeing
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