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Hybrid Classifier for Optimizing Mental Health Prediction: Feature Engineering and Fusion Technique.

A major worldwide health concern is mental health issues, which highlights the importance of early identification and intervention. In this paper, the effectiveness of two new hybrid classifiers is examined and compared to traditional machine learning techniques. Our study presents a novel hybrid cl...

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Published in:International Journal of Mental Health & Addiction Vol. 24; no. 2; pp. 1025 - 1066
Main Authors: Yadav, Gaurav, Bokhari, Mohammad Ubaidullah
Format: Article
Published: Springer Nature Apr2026
Subjects:
Ensemble learning
Feature extraction
Artificial neural networks
Decision trees
K-nearest neighbor classification
Random forest algorithms
Online Access:View this record in EBSCOhost