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"

  female-reproductive-diseasemendelian-randomizationobesity
  Language:R 14

• perslab / timshel-2020

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

  cellectcellexgwasobesitysingle-cell-genomics
  Language:R 13

• SchlossLab / Sze_Obesity_mBio_2016

  reproducible-papermicrobiomeobesitymeta-analysis
  Language:R 12

• opencasestudies / ocs-bp-rural-and-urban-obesity

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

  case-studyobesitybloomberg-ocs-ruraldata-wranglingdata-visualizationbmidata-sciencet-testhistogramsocs
  Language:HTML 3

• HeatherARobinson / CHAMP-data-analysis

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

  bmichildpediatricobesity
  2
• 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.

  matlabpsychtoolboxdecision-makingeye-trackinglearningcognitive-scienceeating-behaviorobesitycomputational-psychiatry
  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.

  microbiome-analysisinsitu-dataobesitypythonr
  Language:Shell 1

• ChikazeMori / 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.

  pythonrandom-forestmachine-learningobesity
  Language:Jupyter Notebook 1

• Dappy-Net / Obesity-Detectors

  Some Awsome Things

  detectorobesityphptoolsusefullwebsite
  Language:CSS 1

• DATA606Project-TeamS / CapstoneProject-ObesityandML

  obesitymachine-learningdata-sciencepython
  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.

  obesity
  Language:Jupyter Notebook 1

• doublealogic / 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.

  d3d3-visualizationscatter-plotvisualize-datagraphicobesityhealthcarepovertycensus-bureau
  Language:JavaScript 1

• Eben2020-hp / Obesity

  Estimation of Obesity Levels

  linear-regressionobesityanalysispandas-profiling
  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

  bmiobesityenglandquantilerifdecomposition
  Language:Rich Text Format 1

• 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".

  anesthesiaanesthesiologyatelectasismediation-analysisobesityperioperative-medicine
  Language:R 1

• KristiBischoff / Healthcare-Related-Tableau-Dashboards

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

  birthweightcounty-health-datadashboardsdata-visualizationdemographicsdescriptive-statisticsgeomaphealthcaremappingmedicareobesityopioidpregnancyscatterplotstdtableautableau-publicunemploymentuninsured-healthcare
  1

• kyle-young1997 / Data-set-2--Group-6

  Data analysis by Yuchang Bao, Yulin Huang, He Yang

  obesityeducation
  1

• masjidilaqsha / obesity-status-in-indonesia-2013

  Classify Indonesian Obesity Status using ADASYN-N and Random Forest algorithm

  random-forestadasynobesityrmatlab
  Language:Jupyter Notebook 1

• wahidulalamriyad / 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.

  analyticsobesitypython
  Language:Jupyter Notebook 1

• whmidgley / Evaluating-risk-factors-for-common-childhood-comorbidities-An-all-Wales-longitudinal-cohort-study.

  big-databmiconstipationdepressiondiabeteslogistic-regressionmachine-learningnafldobesityoverweightsailt2dmwalesfatty-livermafldmental-helathpaediatricgpwelshgeneral-practitioner
  1

• Yoris95 / Classification-of-Obesity-Status-in-Indonesia-Using-XGBoost-and-ADASYN-N-Method

  Classification of Obesity Status in Indonesia Using XGBoost & ADASYN-N Method

  machine-learningadasyndecision-treefeature-selectionobesityrstudioxgboostboostingensemble-machine-learning
  Language:R 1

• Godino-Gimeno-A / aversive-learning

  Obesity impairs cognitive function with no effects on anxiety-like behaviour in zebrafish

  adunitslong-term-memoryobesityzebrafishaversive-learningshort-term-memoryzantiks
  0

• johnwesleycodehub / Banner

  Banner using HTML & CSS

  bannercsshtmlobesity
  Language:HTML 0

• 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.

  north-carolinaobesitypublic-healthunemployment
  Language:Jupyter Notebook 0

• KristianEka / estimation-obesity-levels

  Implementing machine learning in comparing the accuracy of classification algorithms in classifying levels of obesity

  classificationclassification-algorithmmachine-learningobesityrrmddecision-treenaive-bayes
  0

• KristianEka / estimation-obesity-levels-python

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

  decision-treejupyter-notebookknnnaive-bayesobesitypredictive-modelingpython
  Language:Jupyter Notebook 0

• aclarke500 / obesity-analysis

  An analysis of obesity rates in the US across each state as well as for the whole country.

  data-cleaningdata-sciencedata-visualizationobesity
  Language:Jupyter Notebook

• 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-intelligencedata-sciencemachine-learningobesitypredictionrandom-forestxgbooststreamlit
  Language:Python

• erikazoo / Portfolio

  DATA 1201 Final - Erica Zhu

  healthobesitysidewalk
  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?

  dataanalysishealthobesity
  Language:HTML

• Obideyioluwapelumi / Nutrition_and_Obesity_Analysis

  This project is basically to provide insights on the influence of nutritional activities on health.

  projectspythonhealthnutritionobesityphysical-activity
  Language:Jupyter Notebook

• parvatijay2901 / LiveLite

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

  healthcare-analysisobesitypythonrecommendation-toolstreamlit
  Language:Jupyter Notebook

• RahmanLaboratory / 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.

  healthobesitypublic
  Language:JavaScript

• Rising-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.

  machine-learningobesity
  Language:Jupyter Notebook

• Rising-Stars-by-Sunshine / STATS201_ZheNiu_FinalProject

  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.

  mlobesitysocial-science
  Language:Jupyter Notebook

• yuanboFaith / flux-model-energy-metabolism

  Flux Modeling of Mammalian Energy Metabolism

  energy-metabolismflux-modelobesity
  Language:R