obesity
There are 0 repository under obesity topic.
lindgrengroup / obesity_femrepr_MR
Code for analyses in "Obesity and risk of female reproductive disorders: A Mendelian Randomisation Study"
Language:R 14perslab / timshel-2020
Code to reproduce analysis and figures for 'Genetic mapping of etiologic brain cell types for obesity' (Timshel, eLife 2020)
Language:R 13- Language:R 12
opencasestudies / ocs-bp-rural-and-urban-obesity
OCS (BP): Examine global patterns of obesity across rural and urban regions
Language:HTML 3HeatherARobinson / CHAMP-data-analysis
CHAMP data wrangling codes: cleaning, reshaping and quantitive analysis of child measurement data
- slot_machine_two_step_task
alexdsbreslav / slot_machine_two_step_task
[In Production] Adaptation of Nathaniel Daw's Two-Step Sequential Learning Task. Designed for a study of reward prediction for food with college undergraduates.
Language:MATLAB 1 bioinfonupeb / hfd-insitu-microbiome
Codes for the statistical analysis that investigates the impact of high-fat diet on gut microbiome and serotonergic gene expression in the raphe nuclei.
Language:Shell 1ChikazeMori / Determining-Risk-Factors-That-Lead-to-Obesity
This repository demonstrates the usage of a Random Forest Model to to determine risk factors that lead to obesity.
Language:Jupyter Notebook 1- Language:CSS 1
- Language:Jupyter Notebook 1
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.
Language:Jupyter Notebook 1doublealogic / US-Census-D3-Visuals
Using D3, this repository takes the data from the US Census Bureau's 2014 ACS 1-year estimates and creates animated visualizations from it.
Language:JavaScript 1- Language:Jupyter Notebook 1
fcorowe / bmi
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
Language:Rich Text Format 1javimangal / 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".
Language:R 1KristianEka / estimation-obesity-levels-python
Predicting a Person's Obesity Level Using Decision Tree, Naive Bayes, and KNN Algorithms
Language:Jupyter Notebook 1KristiBischoff / Healthcare-Related-Tableau-Dashboards
Repository to preview, describe, and link to multiple health-related Tableau dashboards.
kyle-young1997 / Data-set-2--Group-6
Data analysis by Yuchang Bao, Yulin Huang, He Yang
masjidilaqsha / obesity-status-in-indonesia-2013
Classify Indonesian Obesity Status using ADASYN-N and Random Forest algorithm
Language:Jupyter Notebook 1wahidulalamriyad / Big_Data_Analytics_For_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.
Language:Jupyter Notebook 1Yoris95 / Classification-of-Obesity-Status-in-Indonesia-Using-XGBoost-and-ADASYN-N-Method
Classification of Obesity Status in Indonesia Using XGBoost & ADASYN-N Method
Language:R 1Godino-Gimeno-A / aversive-learning
Obesity impairs cognitive function with no effects on anxiety-like behaviour in zebrafish
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kayleechesnutt / unemployment-obesity-NC
A data repository to show the amount of Unemployment and Adult Obesity in the state of North Carolina in 2014 and 2015.
Language:Jupyter Notebook 0Implementing machine learning in comparing the accuracy of classification algorithms in classifying levels of obesity
0yuanboFaith / flux-model-energy-metabolism
Flux Modeling of Mammalian Energy Metabolism
Language:R 0aclarke500 / obesity-analysis
An analysis of obesity rates in the US across each state as well as for the whole country.
Language:Jupyter Notebookasma-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.
Language:Python- Language:Jupyter Notebook
Nadxielli / index.html
Obesity Nationally, 41.9 percent of adults have obesity. What are some factors that might be contributing to these high rates?
Language:HTMLObideyioluwapelumi / Nutrition_and_Obesity_Analysis
This project is basically to provide insights on the influence of nutritional activities on health.
Language:Jupyter Notebookparvatijay2901 / LiveLite
Group Project: DATA 515 A Wi 24: Software Design For Data Science
Language:Jupyter NotebookRahmanLaboratory / obesity
Obesity, defined by BMI, is a global health concern linked to serious diseases. It's caused by more than just diet & exercise, with genes & social factors at play too. A combined approach of healthy habits, public health efforts, and accessible healthcare is needed to tackle this crisis.
Language:JavaScriptRising-Stars-by-Sunshine / Stats201_Zhe_Niu_PS2
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.
Language:Jupyter NotebookThis 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.
Language:Jupyter Notebook
