RT info:eu-repo/semantics/article
T1 Analysis of mental health disease trends using BeGraph software in spanish health care centers: case study
A1 Góngora Alonso, Susel
A1 Bustos Molina, Andrés de
A1 Sainz de Abajo, Beatriz
A1 Franco Martín, Manuel Ángel
A1 Torre Díez, Isabel de la
K1 BeGraph software
K1 Diseases
K1 Health care complexes
K1 Mental health
K1 Visualization
AB Background: In the era of big data, networks are becoming a popular factor in the field of data analysis. Networks are part of the main structure of BeGraph software, which is a 3D visualization application dedicated to the analysis of complex networks.Objective: The main objective of this research was to visually analyze tendencies of mental health diseases in a region of Spain, using the BeGraph software, in order to make the most appropriate health-related decisions in each case.Methods: For the study, a database was used with 13,531 records of patients with mental health disorders in three acute medical units from different health care complexes in a region of Spain. For the analysis, BeGraph software was applied. It is a web-based 3D visualization tool that allows the exploration and analysis of data through complex networks.Results: The results obtained with the BeGraph software allowed us to determine the main disease in each of the health care complexes evaluated. We noted 6.50% (463/7118) of admissions involving unspecified paranoid schizophrenia at the University Clinic of Valladolid, 9.62% (397/4128) of admissions involving chronic paranoid schizophrenia with acute exacerbation at the Zamora Hospital, and 8.84% (202/2285) of admissions involving dysthymic disorder at the Rio Hortega Hospital in Valladolid.Conclusions: The data analysis allowed us to focus on the main diseases detected in the health care complexes evaluated in order to analyze the behavior of disorders and help in diagnosis and treatment.
PB JMIR PUBLICATIONS, INC.
SN 2291-9694
YR 2021
FD 2021
LK https://uvadoc.uva.es/handle/10324/68729
UL https://uvadoc.uva.es/handle/10324/68729
LA eng
NO JMIR Medical Informatics, Junio 2021, vol. 9, n. 6. p. e15527-e15536.
NO Producción Científica
DS UVaDOC
RD 22-nov-2024