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Communication Dans Un Congrès Année : 2021

Analyzing Mental Health Diseases in a Spanish Region Using Software Based on Graph Theory Algorithms

Résumé

At present, network analysis based on the graph theory has become a widely used technique in the field of Mental Health. The networks are part of the main structure of BeGraph software, a 3D visualization cloud application that allows the analysis of complex networks. The main objective of this study is to analyze, through the BeGraph software, the behavior of Mental Health prevalent diseases in a region of Spain, in order to make health decisions. The study used a database with a total of 9403 patient’s records with Mental Health diseases, which belong to two hospitals in Castilla and Leon, Spain, and the 3D visualization software, BeGraph. The results obtained allow us to determine the main diseases detected in each hospital included in the study 6.5% of admissions from the University Clinic of Valladolid with unspecified paranoid schizophrenia and 8.84% of admissions from Rio Hortega Hospital with dysthymic disorder. The analysis of the data allows us to focus on the Mental Health main pathologies detected in the hospitals evaluated, and propose prediction algorithms that help in their diagnosis and treatment. © 2021, Springer Nature Singapore Pte Ltd.
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Dates et versions

hal-02931912 , version 1 (07-09-2020)

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Citer

S.G. Alonso, A. de Bustos Molina, Sofiane Hamrioui, M.L. Coronado, Mf Martin-Eauclaire, et al.. Analyzing Mental Health Diseases in a Spanish Region Using Software Based on Graph Theory Algorithms. 3rd International Conference on Innovative Computing and Communication, ICICC 2020, Feb 2020, New Delhi, India. pp.701-708, ⟨10.1007/978-981-15-5113-0_57⟩. ⟨hal-02931912⟩
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