Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Jul 17, 2019
Open Peer Review Period: Jul 22, 2019 - Sep 16, 2019
Date Accepted: Apr 12, 2021
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Analysis of Mental Health Diseases Trends using BeGraph Software in Spanish Healthcare Centers
ABSTRACT
Background:
In the era of Big Data, networks are becoming a popular factor in field of data analysis. The 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 is to visually analyze tendencies of Mental Health diseases in a region of Spain through the Begraph software, in order to make the most appropriate health-related decisions in each case.
Methods:
For the development of the study, a database was used with 13531 records of patients with Mental Health disorders of three acute medical units from different healthcare complexes in a region of Spain. For the analysis, BeGraph software is applied, 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 allow us to determine the main disease detected in each of the healthcare complexes to be evaluated: 6.5% of income at the University Clinic of Valladolid with unspecified paranoid schizophrenia, 9.61% of admissions in the Zamora Hospital with chronic paranoid schizophrenia with acute exacerbation and 8.84% of income in the Rio Hortega Hospital in Valladolid with dysthymic disorder.
Conclusions:
The data analysis obtained allows us to focus on the main diseases detected in the healthcare complexes to be evaluated, in order to analyse the behaviour of disorder and help in the diagnosis and treatment.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.