Improving classification based on physical surface tension-neural net for the prediction of psychosocial-risk level in public school teachers

BACKGROUND: Psychosocial risks, also present in educational processes, are stress factors particularly critical in state-schools, affecting the efficacy, stress, and job satisfaction of the teachers. This study proposes an intelligent algorithm to improve the prediction of psychosocial risk, as a to...

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Detalles Bibliográficos
Autores principales: Mosquera Navarro, Rodolfo, Castrillón, Omar Danilo, Parra Osorio, Liliana, Oliveira, Tiago, Novais, Paulo, Valencia, José Fernando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176537/
https://www.ncbi.nlm.nih.gov/pubmed/34141875
http://dx.doi.org/10.7717/peerj-cs.511

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176537/
https://www.ncbi.nlm.nih.gov/pubmed/34141875
http://dx.doi.org/10.7717/peerj-cs.511

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