An Analysis of Machine Learning for Detecting Depression, Anxiety, and Stress of Recovered COVID-19 Patients

An Analysis of Machine Learning for Detecting Depression, Anxiety, and Stress of Recovered COVID-19 Patients

Objectives: This study explores different machine learning models (KNN: k-nearest neighbor, MLP: Multilayer Perceptron, SVM: Support Vector Machine) to identify the optimal model for accurate and rapid mental health detection among the recovered COVID-19 patients. Other techniques are also investiga...

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Bibliographic Details
Main Authors: Tran Anh Tuan, Le Thanh Thao Trang, Tran Dai An, Nguyen Huu Nghia, Dao Thi Thanh Loan
Format: Article
Language:English
Published: Ital Publication 2024-03-01
Series:Journal of Human, Earth, and Future
Subjects:
predictive model
machine learning
depression
anxiety
stress
das
mental health
covid-19.
Online Access:https://hefjournal.org/index.php/HEF/article/view/286

Internet

https://hefjournal.org/index.php/HEF/article/view/286

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