Detección de depresión mayor por medio de la lógica difusa
| dc.contributor.advisor | Giraldo Hernández, Carlos Andrés | |
| dc.contributor.author | Ardila Ortiz, Laura Daniela | |
| dc.contributor.orcid | Ardila Ortiz, Laura Daniela [0009-0009-0810-0894] | |
| dc.date.accessioned | 2025-05-07T20:41:04Z | |
| dc.date.available | 2025-05-07T20:41:04Z | |
| dc.date.created | 2024-11-14 | |
| dc.description | La detección temprana y el análisis de trastornos psicológicos es un tema de gran interés el cual es abarcado en el campo de la inteligencia artificial, la psicología y medicina. Los modelos neurodifusos han demostrado ser una herramienta eficaz para abordar este problema al combinar la lógica difusa con la teoría de redes neuronales. En este trabajo se propone un nuevo modelo neurodifuso configurado para ayudar con el diagnóstico del trastorno depresivo mayor en las personas, que queda con la posibilidad de extenderlo a otros trastornos psicológicos como la ansiedad, trastorno obsesivo compulsivo, entre otros. | |
| dc.description.abstract | The early detection and analysis of psychological disorders is a topic of great interest, addressed in the fields of artificial intelligence, psychology, and medicine. Neuro-fuzzy models have proven to be an effective tool for tackling this problem by combining fuzzy logic with neural network theory. This work proposes a new neuro-fuzzy model designed to assist in the diagnosis of major depressive disorder in individuals, with the potential to be extended to other psychological disorders such as anxiety, obsessive-compulsive disorder, among others. | |
| dc.format.mimetype | ||
| dc.identifier.uri | http://hdl.handle.net/11349/95280 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Distrital Francisco José de Caldas | |
| dc.relation.references | Asociación Americana de Psiquiatría. Guía de consulta de los criterios diagnósticos del DSM-5. Guía de consulta de los criterios diagnósticos del DSM-5, 2013. | |
| dc.relation.references | Aaron T. Beck and Brad A. Alford. Depression: Causes and Treatment. University of Pennsylvania Press, Philadelphia, 2nd edition, 2009. | |
| dc.relation.references | Richard A. Brualdi. Introductory Combinatorics. Pearson, 5th edition, 2010. | |
| dc.relation.references | Ellen Frank David J. Kupfer and Mary L. Phillips. Major depressive disorder: New clinical, neurobiological, and treatment perspectives. Annual Review of Medicine, 63:41–60, 2012. | |
| dc.relation.references | Nisha Gupta, Harjeet Singh, and Jimmy Singla. Fuzzy logic-based systems for medical diagnosis – a review. In 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC), pages 1058–1062, 2022. | |
| dc.relation.references | M. Malkawi and O. Murad. Artificial neuro fuzzy logic system for detecting human emotions. Human-Centric Computing and Information Sciences, 3:1–13, 2013. | |
| dc.relation.references | MathWorks. ¿qué es matlab? https://la.mathworks.com/help/matlab/what-is-matlab. html. Accedido el 24 de noviembre de 2023. | |
| dc.relation.references | Patricia Melin, Iván Miramontes, and Germán Prado-Arechiga. A hybrid model based on modular neural networks and fuzzy systems for classification of blood pressure and hypertension risk diagnosis. Expert Systems with Applications, 107:146–164, 2018. | |
| dc.relation.references | M. Negnevitsky et al. Fuzzy Expert System. Nombre de la Editorial, 2 edition, 2005. | |
| dc.relation.references | Witold Pedrycz. Fuzzy Clustering, pages 125–145. Springer, Berlin, 2021. | |
| dc.relation.references | T. J. Ross. Fuzzy Logic with Engineering Applications. John Wiley & Sons, 2009 | |
| dc.relation.references | Ting Wang, Zhao Ren, Ying Ding, Zhou Fang, Zhe Sun, Matthew L. MacDonald, Robert A. Sweet, Jieru Wang, and Wei Chen. Fastggm: An efficient algorithm for the inference of gaussian graphical model in biological networks. PLOS Computational Biology, 12:e1004755, February 2016. | |
| dc.relation.references | World Health Organization. Depression and Other Common Mental Disorders: Global Health Estimates. World Health Organization, Geneva, 2017. | |
| dc.rights.acceso | Abierto (Texto Completo) | |
| dc.rights.accessrights | OpenAccess | |
| dc.subject | Trastornos psicológicos | |
| dc.subject | Lógica difusa | |
| dc.subject | MATLAB | |
| dc.subject | Depresión mayor | |
| dc.subject.keyword | Psychological disorders | |
| dc.subject.keyword | Fuzzy logic | |
| dc.subject.keyword | MATLAB | |
| dc.subject.keyword | Major depression | |
| dc.subject.lemb | Matemáticas -- Tesis y disertaciones académicas | |
| dc.title | Detección de depresión mayor por medio de la lógica difusa | |
| dc.title.titleenglish | Detection of major depression by means of fuzzy logic | |
| dc.type | bachelorThesis | |
| dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.degree | Monografía | |
| dc.type.driver | info:eu-repo/semantics/bachelorThesis |
Archivos
Bloque original
1 - 2 de 2
Cargando...
- Nombre:
- ArdilaOrtizLauraDaniela2024.pdf
- Tamaño:
- 383.98 KB
- Formato:
- Adobe Portable Document Format
- Descripción:
- Trabajo de Grado
No hay miniatura disponible
- Nombre:
- Licencia de uso y publicación.pdf
- Tamaño:
- 206.95 KB
- Formato:
- Adobe Portable Document Format
- Descripción:
- Licencia de uso y autorización
Bloque de licencias
1 - 1 de 1
No hay miniatura disponible
- Nombre:
- license.txt
- Tamaño:
- 7 KB
- Formato:
- Item-specific license agreed upon to submission
- Descripción: