An early assessment of Persistent Depression Disorder using machine learning algorithm

Although various algorithms and strategies have been proposed for predicting depression and anxiety, none of the work is still suggested for an automated system for an early assessment of Dysthymia. This study aimed to enhance the accuracy of early diagnosis for Persistent Depression Disorder (PDD)...

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Veröffentlicht in:	Multimedia tools and applications 2024-05, Vol.83 (16), p.49149-49171
Hauptverfasser:	Upadhyay, Devesh Kumar, Mohapatra, Subrajeet, Singh, Niraj Kumar
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms College students Colleges & universities Computer Communication Networks Computer Science Data Structures and Information Theory Machine learning Mental depression Multimedia Information Systems Special Purpose and Application-Based Systems Students Support vector machines Track 2: Medical Applications of Multimedia
Online-Zugang:	Volltext
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