Assessing the Mental Health Impact of COVID-19 on the US Population: A Large-Scale Survey Analysis Using SMOTE

Chinmayee Rayguru, Emily Chia Yu Su

研究成果: 書貢獻/報告類型會議貢獻

摘要

The coronavirus (COVID-19) outbreak, recognized as one of the deadliest health crises in recent history, swiftly affected over 200 countries. The pandemic has posed complex challenges, specifically affected not only the rising number of cases but also deeply influenced individual mental health. This research explores the significant mental health implications of the COVID-19 pandemic on the US population, analyzed through a large-scale survey of 25,136 participants across various ages, economic backgrounds, and chronic disease status. We categorized mental health status into three risk levels: low, moderate, and high, based on the key features influencing stress levels. Notably, our findings reveal that the age group 25-54 years exhibited higher anxiety levels compared to other age groups. The implementation of Extreme Gradient Boosting (XGBoost) with Synthetic Minority Over-sampling (SMOTE) Technique for balancing data yielded impressive accuracy rates: 94.55% for high risk, 90.73% for moderate risk, and 77.77% for low risk, respectively. These results significantly outperformed the Random Forest (RF) model in both imbalanced and SMOTE balanced datasets. Furthermore, the study identified high obesity and chronic diseases, such as bronchitis, as factors exacerbating stress levels. This research contributes valuable insights to the mental health condition prediction during COVID-19 pandemic by underlining the importance of targeted interventions for high-risk groups.
原文英語
主出版物標題ICMHI 2024 - 2024 8th International Conference on Medical and Health Informatics
發行者Association for Computing Machinery
頁面298-303
頁數6
ISBN(電子)9798400716874
DOIs
出版狀態已發佈 - 5月 2024
事件8th International Conference on Medical and Health Informatics, ICMHI 2024 - Yokohama, 日本
持續時間: 5月 17 20245月 19 2024

出版系列

名字ACM International Conference Proceeding Series

會議

會議8th International Conference on Medical and Health Informatics, ICMHI 2024
國家/地區日本
城市Yokohama
期間5/17/245/19/24

ASJC Scopus subject areas

  • 人機介面
  • 電腦網路與通信
  • 電腦視覺和模式識別
  • 軟體

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