Code for analyses in "Obesity and risk of female reproductive disorders: A Mendelian Randomisation Study"

Code to reproduce analysis and figures for 'Genetic mapping of etiologic brain cell types for obesity' (Timshel, eLife 2020)

🍎 A Reproducible Pipeline for Processing SISVAN Microdata on Nutritional Status Monitoring in Brazil

ObMetrics is a Shiny app developed to facilitate the calculation of outcomes related to Metabolic Syndrome in pediatric populations. This repository contains documentation and licensing details for the application, which aims to provide a user-friendly interface for healthcare professionals and researchers.

This notebook presents a concise analysis for predicting obesity risk using machine learning models like Random Forest and XGBoost. Focused on identifying key factors influencing obesity through exploratory data analysis (EDA) and predictive modeling, the notebook offers insights into effective prevention strategies.

OCS (BP): Examine global patterns of obesity across rural and urban regions

Codes for the statistical analysis that investigates the impact of high-fat diet on gut microbiome and serotonergic gene expression in the raphe nuclei.

Android app that predicts chronic disease risk such as diabetes, cancer, obesity, cardiovascular diseases based on user health data, written in kotlin and jetpack compose.

Python & R scripts collection for AdipoAtlas project

Estimation of Obesity Levels

Repository to preview, describe, and link to multiple health-related Tableau dashboards.

📓 Exploring potential associations between childhood undernutrition and the Standardized Precipitation Evapotranspiration Index (SPEI) in Brazilian municipalities (2008–2019)

Predicting a Person's Obesity Level Using Decision Tree, Naive Bayes, and KNN Algorithms

CHAMP data wrangling codes: cleaning, reshaping and quantitive analysis of child measurement data

Using D3, this repository takes the data from the US Census Bureau's 2014 ACS 1-year estimates and creates animated visualizations from it.

Analysis of Spatial and Temporal Data Course Final Project - Obesity Classification

Some Awsome Things

Data analysis by Yuchang Bao, Yulin Huang, He Yang

This repository demonstrates the usage of a Random Forest Model to to determine risk factors that lead to obesity.