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F., Fernando Zacarias
- Analysis of the Relationship Between Self-Esteem and Depression
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Authors
Affiliations
1 Faculty of Architecture, Universidad Autónoma de Puebla, Puebla, MX
2 Computer Science, Universidad Autónoma de Puebla, Puebla, MX
1 Faculty of Architecture, Universidad Autónoma de Puebla, Puebla, MX
2 Computer Science, Universidad Autónoma de Puebla, Puebla, MX
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 15, No 5 (2023), Pagination: 19-28Abstract
This article presents a comprehensive and in-depth analysis of the intricate relationship that underlies selfesteem and depression, two crucial aspects in the field of mental health. Study aims not only to scrutinize the existing relationship between self-esteem and depression but also to do so innovatively by leveraging the analytical and data visualization capabilities offered by two cutting-edge tools: Power BI [3], [4] and Weka [1], [2]. These platforms, widely recognized in the realm of data science, allow for not only exploring the relationship between these two fundamental variables but also presenting their findings in an accessible and enlightening manner for both specialized and general audiences. Thus, our study represents a comprehensive and multidisciplinary effort to unravel the complex relationship between self-esteem and depression. Through the synergy between advanced data analysis carried out with Weka and the powerful visualization provided by Power BI, the aim is not only to broaden the understanding of this crucial relationship but also to lay the groundwork for future research and approaches in the field of mental health. In a world where mental health takes center stage in socio-health concerns, this study aspires to contribute valuable insights that can inform and enrich the care, treatment, and policies related to depression and self-esteem.Keywords
Data science, Depression, Self-esteem, Weka, Power-BIReferences
- ¿Qué es Weka y qué tiene que ver con Big Data? (2020, julio 9). Agenciab12.mx. https://agenciab12.mx/noticia/que-es-weka-que-tiene-que-ver-big-data.
- Donatella Merlini, Martina Rossini, Text categorization with WEKA: A survey,Machine Learning with Applications,Volume 4,2021,100033,ISSN 2666-8270, https://doi.org/10.1016/j.mlwa.2021.100033. (https://www.sciencedirect.com/science/article/pii/S2666827021000141)
- Gurpreet Singh, Ankul Kumar, Jaspreet Singh, Jagdeep Kaur. (2023) Data Visualization for Developing Effective Performance Dashboard with Power BI. 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), pages 968-973.
- Cree informes sofisticados y comparta conocimientos que impulsen los resultados. (s/f). Microsoft.com. Recuperado el 24 de agosto de 2023, de https://powerbi.microsoft.com/esmx/ landing/free-account/
- Arévalo García, E., Castillo-Jimenez, D. A., Cepeda, I., López Pacheco, J., & Pacheco López, R. (2019). Anxiety and depression in university students: relationship with academic performance. Interdisciplinary Journal of Epidemiology and Public Health, 2(1), e–022. https://doi.org/10.18041/2665-427X/ijeph.1.5342 (Original work published July 15, 2020)1.
- Mishra P, Pandey CM, Singh U, Gupta A, Sahu C, Keshri A. Descriptive statistics and normality tests for statistical data. Ann Card Anaesth. 2019 Jan-Mar;22(1):67-72. doi: 10.4103/aca.ACA_157_18. PMID: 30648682; PMCID: PMC6350423.
- Sánchez-Rojas, Alma A., García-Galicia, Arturo, Vázquez-Cruz, Eduardo, Montiel-Jarquín, Álvaro J., & Aréchiga-Santamaría, Alejandra. (2022). Autoimagen, autoestima y depresión en escolares y adolescentes con y sin obesidad. Gaceta médica de México, 158(3), 124-129. Epub 28 de septiembre de 2022. https://doi.org/10.24875/gmm.21000817.
- Lazarevich I, Irigoyen Camacho ME, Velázquez-Alva MC, Flores NL, Nájera Medina O, Zepeda Zepeda MA. Depression and food consumption in Mexican college students. Nutr Hosp. 2018 May 10;35(3):620-626. English. doi: 10.20960/nh.1500. PMID: 29974771. https://pubmed.ncbi.nlm.nih.gov/29974771/
- Instituto Nacional de Estadística y Geografía (INEGI). (2022). Buscador INEGI. https://www.inegi.org.mx/app/buscador/default.html?q=Depresión.
- Instituto Nacional de Estadística y Geografía (INEGI). (s/f). Quiénes somos. Recuperado el 19 de agosto de 2023, de https://www.inegi.org.mx/inegi/quienes_somos.html.
- Fan, C., Chen, M., Wang, X., Wang, J., & Huang, B. (2021). A review on data preprocessing techniques toward efficient and reliable knowledge discovery from building operational data. Frontiers in Energy Research, 9, 652801
- Joaquim Lapa, Jorge Bernardino and Ana Figueiredo. A comparative analysis of open-source business intelligence platforms. Conference ISDOC: Information Systems and Design of Communication 2014. DOI: 10.1145/2618168.2618182
- Nuno Leite, I. Pedrosa, Jorge Bernardino. Comparative evaluation of open source business intelligence platforms for SME Published 2018 13th Iberian Conference on Information Systems and Technologies (CISTI).
- Group, Gartner. Magic Quadrant for Business Intelligence andAnalytics Platforms. http://www.gartner.com. [Online] 2013.