• Corpus ID: 248798392

A Machine Learning Analysis of Impact of the Covid-19 Pandemic on Alcohol Consumption Habit Changes Among Healthcare Workers in the U.S

  title={A Machine Learning Analysis of Impact of the Covid-19 Pandemic on Alcohol Consumption Habit Changes Among Healthcare Workers in the U.S},
  author={Mostafa Rezapour},
In this paper, we discuss the impact of the Covid-19 pandemic on alcohol consumption habit changes among healthcare workers in the United States. We utilize multiple supervised and unsupervised machine learning methods and models such as Decision Trees, Logistic Regression, Naive Bayes classifier, k-Nearest Neighbors, Support Vector Machines, Multilayer perceptron, Random Forests, XGBoost, CatBoost, LightGBM, Synthetic Minority Oversampling, Chi-Squared Test and mutual information method on a… 


CatBoost: gradient boosting with categorical features support
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Support Vector Machines
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COVID Isolation on Sleep and Health in Healthcare Workers
  • Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor],
  • 2020
Xgboost: extreme gradient boosting.
  • R package version 0.4-2
  • 2015
A Machine Learning Analysis of COVID-19 Mental Health Data
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Artificial Intelligence-Based Analytics for Impacts of COVID-19 and Online Learning on College Students' Mental Health
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