Mental Health Classification Using Machine Learning with PCA and Logistics Regression Approaches for Decision Making

Mental Health Classification Using Machine Learning with PCA and Logistics Regression Approaches for Decision Making

Mental health statistics come with numerous challenges, beginning with data integrity. Ensuring data accuracy and reliability is essential, especially if these datasets are to be used for advanced analysis or research. Additionally, privacy concerns heavily impact the management of mental health dat...

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Bibliographic Details
Main Authors: Hendra Hendra, Mustafa Mat Deris, Ika Safitri Windiarti
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Engineering Proceedings
Subjects:
mental health
machine learning
PCA
logistic regression
Online Access:https://www.mdpi.com/2673-4591/84/1/47
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