ENSEMBLE HYBRID LEARNING METHODS FOR AUTOMATED DEPRESSION DETECTION

Authors:

P. Rakesh,Dr. Y. Md. Riyazuddin

Page No: 124-136

Abstract:

Depression rates have surged over the past century, yet many cases remain undetected despite advancements in diagnosis. Automated detection methods offer potential solutions to this issue by identifying individuals at risk.

Description:

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Volume & Issue

Volume-13,Issue-4

Keywords

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