Topic: obesity Goto Github
Some thing interesting about obesity
Some thing interesting about obesity
obesity,An analysis of obesity rates in the US across each state as well as for the whole country.
User: aclarke500
obesity,[In Production] Adaptation of Nathaniel Daw's Two-Step Sequential Learning Task. Designed for a study of reward prediction for food with college undergraduates.
User: alexdsbreslav
obesity,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.
User: asma-hachaichi
obesity,More takeaways on high street despite anti-obesity push
Organization: bbc-data-unit
Home Page: https://www.bbc.co.uk/news/uk-45875294
obesity,Codes for the statistical analysis that investigates the impact of high-fat diet on gut microbiome and serotonergic gene expression in the raphe nuclei.
Organization: bioinfonupeb
obesity,This repository demonstrates the usage of a Random Forest Model to to determine risk factors that lead to obesity.
User: chikazemori
obesity,Introduction to Data Science Group Assignment: Obesity Risk Assessment Data Product
User: chuanlintneoh
obesity,Food For Thought - Do the main cuisines of food establishments affect obesity rates within Michigan?
User: daraeoh
obesity,
Organization: data606project-teams
obesity,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.
User: dayanacavalcante
obesity,Using D3, this repository takes the data from the US Census Bureau's 2014 ACS 1-year estimates and creates animated visualizations from it.
User: doublealogic
obesity,Estimation of Obesity Levels
User: eben2020-hp
obesity,Discovering the association between children's weight outcomes and the food environment around their homes
User: eriliawu
obesity,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
User: fcorowe
obesity,Obesity impairs cognitive function with no effects on anxiety-like behaviour in zebrafish
User: godino-gimeno-a
Home Page: https://zantiks.com/protocols/pavlovian-avoidance-learning
obesity,CHAMP data wrangling codes: cleaning, reshaping and quantitive analysis of child measurement data
User: heatherarobinson
obesity,This repository contains the documentation for reproducibility of the study "Preoperative atelectasis in patients with obesity undergoing bariatric surgery: a cross-sectional study".
User: javimangal
obesity,Banner using HTML & CSS
User: johnwesleycodehub
Home Page: https://bannerobesitystat.netlify.app/
obesity,A data repository to show the amount of Unemployment and Adult Obesity in the state of North Carolina in 2014 and 2015.
User: kayleechesnutt
obesity,Analyze and visualize current trends shaping people's lives, focusing on correlations discovered between health risks, age and income using D3/JavaScript and data from US Census Bureau & the Behavioral Risk Factor Surveillance System.
User: kfmatovic716
Home Page: https://kfmatovic716.github.io/DATA-JOURNALISM---D3/
obesity,Implementing machine learning in comparing the accuracy of classification algorithms in classifying levels of obesity
User: kristianeka
obesity,Predicting a Person's Obesity Level Using Decision Tree, Naive Bayes, and KNN Algorithms
User: kristianeka
obesity,Repository to preview, describe, and link to multiple health-related Tableau dashboards.
User: kristibischoff
Home Page: https://public.tableau.com/app/profile/kristi.bischoff
obesity,Data analysis by Yuchang Bao, Yulin Huang, He Yang
User: kyle-young1997
obesity,Scripts for assessing longitudinal quantitative traits in UKBIOBANK-linked primary care data
Organization: lindgrengroup
obesity,Code for analyses in "Obesity and risk of female reproductive disorders: A Mendelian Randomisation Study"
Organization: lindgrengroup
obesity,Classify Indonesian Obesity Status using ADASYN-N and Random Forest algorithm
User: masjidilaqsha
obesity,JavaScript and D3 were used to analyze and visualize 2014 U.S. Census Bureau and the Behavioral Risk Factor Surveillance System. The data set includes data on rates of income, obesity, poverty, etc. by state. MOE stands for "margin of error."
User: melissamonroe
obesity,Obesity Nationally, 41.9 percent of adults have obesity. What are some factors that might be contributing to these high rates?
User: nadxielli
obesity,Obesity - Gene Targets Network
User: ngmsonn
obesity,Constructing an interactive scatter plot displaying relationships between factors shaping people's lives, such as rates of income, obesity, poverty and more.
User: nsheikh23
Home Page: https://nsheikh23.github.io/D3-challenge/
obesity,Le module d'Alerte de O Media est une application permettant de désamorcer les crises du comportement alimentaire. Destiné aux personnes souffrant d'hyperphagie, cet outil facilite la gestion des émotions lors d'une crise alimentaire grâce à des exercices thérapeutiques.
User: omedia-asso
obesity,OCS (BP): Examine global patterns of obesity across rural and urban regions
Organization: opencasestudies
Home Page: https://opencasestudies.github.io/ocs-bp-rural-and-urban-obesity/
obesity,Code to reproduce analysis and figures for 'Genetic mapping of etiologic brain cell types for obesity' (Timshel, eLife 2020)
Organization: perslab
Home Page: https://elifesciences.org/articles/55851
obesity,This was my final project for MGSC 310, I utilized R and Rstudio to visualize the data and make simple machine learning models to help predict which factors are most likely to contribute to a diagnosis of Obesity.
User: prahita
obesity,This repository presents a project focused on predicting obesity levels using machine learning models based on dietary habits, physical activity, and genetic factors. It includes data querying scripts, preprocessing guidelines, and detailed analysis notebooks to explore and model obesity risk factors effectively.
Organization: rising-stars-by-sunshine
obesity,This repository presents a project focused on predicting obesity levels using machine learning models based on dietary habits, physical activity, and genetic factors. It includes data querying scripts, preprocessing guidelines, and detailed analysis notebooks to explore and model obesity risk factors effectively.
Organization: rising-stars-by-sunshine
obesity,
Organization: schlosslab
obesity,Python & R scripts collection for AdipoAtlas project
Organization: sysmedos
Home Page: https://doi.org/10.1016/j.xcrm.2021.100407
obesity,A dashboard project for Group #1
Organization: ubc-mds
Home Page: https://obesity-explorer.herokuapp.com/
obesity,The Obesity Explorer Dashboard (a UBC-MDS Project by Group #1)
Organization: ubc-mds
Home Page: https://obesity-explorer-r.herokuapp.com/
obesity,Conducted research and developed a system under Dr Booma Poolan Marikannan on provisional analysis for obesity issues using numerous data mining techniques by using a past medical dataset from the Kaggle. Executed the project using tools such as PyCaret, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, and Pickle, and evaluated the classification models to classify obesity based on the value of BMI by using Classification Report and Confusion Matrix. Achievement - Implemented supervised machine learning techniques, such as Quadratic Discriminant Analysis, K-Nearest Neighbour, and Random Forest, with an accuracy of 91% to forecast customers' profitability based on consumer products.
User: wahidulalamriyad
obesity,Analysis of Spatial and Temporal Data Course Final Project - Obesity Classification
User: xernnn
obesity,Classification of Obesity Status in Indonesia Using XGBoost & ADASYN-N Method
User: yoris95
obesity,Flux Modeling of Mammalian Energy Metabolism
User: yuanbofaith
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