R package containing versions of NHANES data

Client library in R for connecting to PIC-SURE resources

NHANES 2017-2022 data was used to complete four analyses exploring factors impacting HDL cholesterol in females ages 30 - 55.

Scripts to download and aggregate NHANES data

NHANES 2017-2022 data was used to build and compare two linear regression models predicting HDL cholesterol in females ages 30 - 55.

All materials and examples associated with the Dynamic Data project.

Demo of analyzing NHANES with RNHANES

ML on NHANES nutrition data

Jupyter Notebook with R

Some scripts for the analysis of data from the National Health and Nutrition Examination Survey (NHANES).

R PROJECT-CDC NHANES DIABETES MELLITUS DATA ANALYSIS

Adapter library for PIC-SURE HPDS Resources (in R language)

To reproduce the work of Grace et al.

scripts to scrape NHANES doc files

Personal research and senior capstone about nutrition using NHANES

This repo is the Machine Learning practice on NHANES dataset of Heart Disease prediction. The ML algorithms like LR, DT, RF, SVM, KNN, NB, MLP, AdaBoost, XGBoost, CatBoost, LightGBM, ExtraTree, etc. The results are good. I also explore the class-balancing (SMOTE) because the original dataset contains only 5% of patient and 95% of healthy record.

Example code for paper: "Development of a national database for dietary glycemic index and load for nutritional epidemiologic studies in the United States"

Code and data for paper on regression with survey data