Projects in Awesome Lists tagged with obesity

https://github.com/opencasestudies/ocs-bp-rural-and-urban-obesity

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

bloomberg-ocs-rural bmi case-study data-science data-visualization data-wrangling histograms obesity ocs t-test

Last synced: 13 Apr 2025

https://github.com/dayanacavalcante/obesity-estimate

Use of OLS method, Linear Regression, K-means, Agglomerative Hierarchical, DBSCAN, Decision Tree, Random Forest, Logistic Regression, Support Vector Classifier, K-nearest neighbors, and Naive Bayes algorithms in the case study to estimate obesity levels.

obesity

Last synced: 14 Apr 2025

https://github.com/javimangal/preoperative-atelectasis

This repository contains the documentation for reproducibility of the study "Preoperative atelectasis in patients with obesity undergoing bariatric surgery: a cross-sectional study".

anesthesia anesthesiology atelectasis mediation-analysis obesity perioperative-medicine

Last synced: 16 Mar 2025

https://github.com/bbc-data-unit/takeaways

More takeaways on high street despite anti-obesity push

health obesity public-health shareddataunit

Last synced: 18 Feb 2025

https://github.com/parvatijay2901/livelite

Group Project: DATA 515 A Wi 24: Software Design For Data Science

healthcare-analysis obesity python recommendation-tool streamlit

Last synced: 18 Mar 2025

https://github.com/eyluldursun/data-science-project

This project involves a data science analysis conducted on the Obesity Data Set. The study explores factors influencing obesity, includes data visualization, and develops predictive models. The goal of the project is to gain insights to help prevent obesity.

data data-science obesity r rmarkdown

Last synced: 06 Apr 2025

https://github.com/asma-hachaichi/prediction-of-obesity-risk

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.

artificial-intelligence data-science machine-learning obesity prediction random-forest streamlit xgboost

Last synced: 31 Mar 2025

https://github.com/sustentarea/gs-data-analysis-report-3

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

brazil climate-change data-analysis data-science food-systems global-syndemic ibge malnutrition nutrition obesity r rstats sisvan spei sustainable-eating wasting worldclim