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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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Publicado en:International Journal of Mental Health & Addiction Vol. 24; no. 2; pp. 1025 - 1066
Autores principales: Yadav, Gaurav, Bokhari, Mohammad Ubaidullah
Formato: Artículo
Publicado: Springer Nature Apr2026
Materias:
Ensemble learning
Feature extraction
Artificial neural networks
Decision trees
K-nearest neighbor classification
Random forest algorithms
Acceso en línea:Ver este registro en EBSCOhost