Coursework | A Survey-weighted Exploratory Analysis of NHANES data
-
Updated
Jul 4, 2024 - R
Coursework | A Survey-weighted Exploratory Analysis of NHANES data
R package for accessing and analyzing CDC NHANES data
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
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.
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.
Jupyter Notebook with R
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
NHANES 2017-2022 data was used to build and compare two linear regression models predicting HDL cholesterol in females ages 30 - 55.
NHANES 2017-2022 data was used to complete four analyses exploring factors impacting HDL cholesterol in females ages 30 - 55.
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 PROJECT-CDC NHANES DIABETES MELLITUS DATA ANALYSIS
Predictive model flagging patients who are likely to be hospitalized over the next 12 months
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 under…
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
Add a description, image, and links to the nhanes topic page so that developers can more easily learn about it.
To associate your repository with the nhanes topic, visit your repo's landing page and select "manage topics."