A Systematic Literature Review Of Mental Health Diagnostic Using K-Nearest Neighbour - Whale Optimization Algorithm

Firza Septian; Kusrini Kusrini; Tonny Hidayat

doi:10.54342/ptc0pb11

Authors

Firza Septian Universitas AMIKOM Yogyakarta
Kusrini Kusrini Universitas AMIKOM Yogyakarta
Tonny Hidayat Universitas AMIKOM Yogyakarta

DOI:

https://doi.org/10.54342/ptc0pb11

Keywords:

KNN-WOA, Medical Diagnostic SLR, Metaheuristic Algorithm, Prisma

Abstract

People including unborn infants are negatively impacted by a number of things, such as noise. Noise and the others aspect could affect somebody mental health. Mental health as natural problem might be easier detected using metaheuristic algorithm, K-Nearest Neighbour - Whale Optimization Algorithm (KNN-WOA) is one of them. A variety of trustworthy sources, including IEEE and Scopus, are used to collect the data. In the action research technique, practical applications work as a "Laboratory" for testing hypotheses on synthesized products. There are three fundamental ideas in regard to using WOA for medical purposes. KNN will be used according to the plan for medical diagnostics. WOA, a population-based approach, uses a randomized collectivist humpback whale sample to enhance potential solutions as feature selection while KNN as the main algorithm. Only three of the 94 journals collected met the set standards.

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