R Package for Calculating Healthy Eating Index-2020 (HEI2020), Alternative Healthy Eating Index (AHEI), Dietary Approaches to Stop Hypertension (DASH), Mediterranean Diet (MED), Dietary Inflammation Index (DII), and Planetary Health Diet Index from the EAT-Lancet Commission (PHDI) for the NHANES, ASA24, DHQ, and other dietary assessments

R package for accessing and analyzing CDC NHANES data

nhanesA: R package for browsing and retrieving NHANES data

This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc

R-script for the publication Testosterone and specific symptoms of depression: Evidence from NHANES 2011–2016, https://doi.org/10.1016/j.cpnec.2021.100044

Coursework | A Survey-weighted Exploratory Analysis of NHANES data

The NHANES Data 'API' is a Python tool that simplifies access to the National Health and Nutrition Examination Survey (NHANES) dataset. This project provides an easy-to-use API to retrieve NHANES data, helping researchers, data scientists, health professionals, and other stakeholders access these valuable datasets.

Process Accelerometer Data from NHANES 2003-2006

ML on NHANES nutrition data

Survey Data: Design and Examples

This is a R online textbook for those who are not familiar with data wrangling. For providing some practical introduction to data wrangling, NHANES datasets will be used as examples in this tutorial. Target audience is those interested in health data analysis, but these data wrangling skills are easily transferable to other fields. General understanding of a syntax based program is required as pre-requisite. For any comments regarding this document, reach out to Ehsan Karim http://ehsank.com/

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

NHANES data curation project. Download files using the {nhanesA} R package. Store parquet files in publicly-accessible Cloudflare site

drake project with starter code to download and clean continuous NHANES data from 1999 - 2018.

This repository contains R programs for the article, “Varying-coefficient regression analysis for pooled biomonitoring,” by Dewei Wang, Xichen Mou, and Yan Liu. This article has been submitted for publication.

Code for the paper "Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases". Accepted by BMC Medical Informatics and Decision Making, 2021

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.

Survey Data Analysis using R

Data from Continuous NHANES (Years 1999-2016)

The most common discrete and continuous distributions, showing how they find use in decision and estimation problems, and constructs computer algorithms for generating observations from the various distributions. and applications, and lastly the most important concept is covered is entropy

Predictive model flagging patients who are likely to be hospitalized over the next 12 months

This analysis leverages publicly available NHANES data from the CDC to investigate insulin resistance and diabetes at the population level to determine whether public health could be improved with a more proactive approach to testing. 💉

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

To reproduce the work of Grace et al.

NHANES data downloading, cleaning, and analyzing

R PROJECT-CDC NHANES DIABETES MELLITUS DATA ANALYSIS

Continuous NHANES Python Downloading Library

An R Shiny app analyzing NHANES depression data with interactive visualizations, dimensionality reduction techniques, and predictive modeling.

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A Python package for calculating the Dietary Inflammatory Index (DII) from nutrient intake data