Danileth Almanza Gonzalez^1,3, Danna Marcela Merlano Ortega^1,4, Maria Clareth Mendez Ramos^1,5, Melba Vertel Morinson^1,6*, Katerine Edith Tobio Gutierrez^1,2 and Zalma Valentina Moreno Galeano^1,7

¹Statistical Research and Applied Mathematical Modeling Group (GEMMA), Department of Mathematics, Faculty of Education and Sciences, University of Sucre, Colombia
²SPhD in Education for Science - São Paulo State University (UNESP/Brazil)
³SDegree in Mathematics- University of Sucre, Colombia
⁴SUndergraduate Student in Mathematics-University of Sucre (UDS/Colombia)
⁵SMaster's Student in Data Science- Pontificia Universidad Católica de Chile
⁶SPhD Student in Food Science and Technology en - Universidad de Córdoba, Colombia
⁷SSystems Engineering Student - Universidad Nacional Abierta y a Distancia (UNAD/Colombia)

*Corresponding Author: Melba Vertel Morinson, Statistical Research and Applied Mathematical Modeling Group (GEMMA), Department of Mathematics, Faculty of Education and Sciences, University of Sucre and PhD Student in Food Science and Technology en - Universidad de Córdoba, Colombia.

Received: February 21, 2023; Published: March 03, 2023

Abstract

Mental health is a state of well-being immersed in various factors that impact the different stages of human life, and essentially the child and adolescent population. In recent years it has become one of the focuses of attention, due to the various problems that have arisen around this concept. This concept has been approached from various angles of knowledge, generating an evolutionary process where data science has been related to this and other areas of knowledge. The present study aims to analyze the scientific production on the relationship of data science in mental health for the case of children and adolescents. For this, a bibliometric analysis was carried out, allowing the recognition of the articles related to the descriptors under study in the last 5 years, using the recognized PubMed database and making use of the statistical software R with the Biblioshiny application, the cual is immersed in the Bibliometrix library. Concluding, that despite the efforts made to increase scientific production on the relationship between the concepts of data science and mental health, work must continue to increase the debate on these issues together, in light of the fact that data science currently contributes to the understanding and optimal decision-making on mental health in children and adolescents.

Keywords: Health Mental; Data Science; PubMed; Children; Adolescents

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Citation

Citation: Melba Vertel Morinson., et al. “Bibliometric Analysis on the Relationship of Data Science in the Mental Health of Child and Adolescent Population".Acta Scientific Nutritional Health 7.4 (2023): 28-36.

Copyright

Copyright: © 2023 Melba Vertel Morinson., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.