Code for analyses in "Obesity and risk of female reproductive disorders: A Mendelian Randomisation Study"
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Updated
Dec 19, 2024 - R
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)
🍎 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.
Analysis of obesity levels using MCA with two approaches for quantitative variables.
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.
Estimation of Obesity Levels
Python & R scripts collection for AdipoAtlas project
Codebase for BMI project
Predicting a Person's Obesity Level Using Decision Tree, Naive Bayes, and KNN Algorithms
Repository to preview, describe, and link to multiple health-related Tableau dashboards.
Analysis of Spatial and Temporal Data Course Final Project - Obesity Classification
Classification of Obesity Status in Indonesia Using XGBoost & ADASYN-N Method
This repository contains the required code to reproduce the results reported on our paper entitled: Explaining the widening distribution of Body Mass Index: A decomposition analysis of trends for England, 2002/04-2012/14
Using D3, this repository takes the data from the US Census Bureau's 2014 ACS 1-year estimates and creates animated visualizations from it.
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