nhanes
There are 3 repositories under nhanes topic.
jamesjiadazhan / dietaryindex
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
Language:R 81SilentSpringInstitute / RNHANES
R package for accessing and analyzing CDC NHANES data
Language:R 59- Language:R 44
john-m-burleson / NHANES-R-Programming
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
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Gluschkoff / tst-depr
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
Language:R 8Shujun-Xu / Analyze-Survey-Data-with-R
Coursework | A Survey-weighted Exploratory Analysis of NHANES data
Language:R 8vandomed / nhanesaccel
Process Accelerometer Data from NHANES 2003-2006
Language:R 7ehsanx / SPPH504007SurveyData
Survey Data: Design and Examples
Language:TeX 6This 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/
Language:TeX 4AIMedLab / CCMDR
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
Language:Python 3Survey Data Analysis using R
Harrindy / VCMforPB
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.
Language:R 3Data from Continuous NHANES (Years 1999-2016)
Language:R 3bcjaeger / NHANES-starter-kit
drake project with starter code to download and clean continuous NHANES data from 1999 - 2018.
Language:R 2kkrusere / NHANES-pyTOOL-API
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.
Language:Python 2lilisbeit / Preventing-Hospitalizations
Predictive model flagging patients who are likely to be hospitalized over the next 12 months
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kiteomoru / NHANES2018PROJECT
R PROJECT-CDC NHANES DIABETES MELLITUS DATA ANALYSIS
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- heartDiseasePrediction
Mubshr07 / heartDiseasePrediction
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.
Language:Jupyter Notebook 1 sb398806 / Factors-Impacting-HDL-Cholesterol-in-Adult-Females
NHANES 2017-2022 data was used to complete four analyses exploring factors impacting HDL cholesterol in females ages 30 - 55.
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hassaanhameed786 / Probability-and-Statistics-for-Computer-Science
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
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rajbeer10 / my-projects
PLAY AROUND DATA!!!
Language:Jupyter Notebook 0NHANES 2017-2022 data was used to build and compare two linear regression models predicting HDL cholesterol in females ages 30 - 55.
0dellacortelab / nhanes_gigl
Example code for paper: "Development of a national database for dietary glycemic index and load for nutritional epidemiologic studies in the United States"
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JonathanmBarnes / NhanesDataCombinations
Personal research and senior capstone about nutrition using NHANES
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