Aportaciones al modelado computacional de trastornos emocionales mediante fuentes de información alternativas
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2023
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10/11/2022
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Universidad Complutense de Madrid
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Abstract
Según estadísticas de la World Health Organization (WHO), de todos los problemas de salud, los trastornos mentales representan el 12.5%, una cifra superior a la del cáncer. Aproximadamente una de cada 4 personas sufrirá un trastorno mental a lo largo de su vida, y entre el 35 y 50% no recibe el tratamiento adecuado, llegando a causar 800.000 suicidios cada año. Estos datos reflejan lo relevante de la detección y el diagnóstico temprano y adecuado. Sin embargo actualmente el sector clínico tiene una limitación en este proceso, ya que las técnicas clásicas para asignar tratamientos se realizan en base a información reportada por el paciente sobre sus emociones (datos subjetivos) y observación médica, siendo esta última apoyada también en gran medida de la información subjetiva...
According to World Health Organization, mental disorders represent 15.5% of health problems, higher than rate for cancer. One in 4 people will suffer a mental disorder throughout its life, and among 35 and 50% do not receive any treatment or do not receive the proper treatment with the result of 800 000 suicides by year. These statistics highlights the relevance of early and proper detection and diagnosis. However, the clinical attempts has to deal with a limitation in this process since classic techniques to assign treatments are carried out in base of information reported by the patient about its emotions (subjective data) and clinical observations, being the last one also supported by the subjecdtive date in a large degree...
According to World Health Organization, mental disorders represent 15.5% of health problems, higher than rate for cancer. One in 4 people will suffer a mental disorder throughout its life, and among 35 and 50% do not receive any treatment or do not receive the proper treatment with the result of 800 000 suicides by year. These statistics highlights the relevance of early and proper detection and diagnosis. However, the clinical attempts has to deal with a limitation in this process since classic techniques to assign treatments are carried out in base of information reported by the patient about its emotions (subjective data) and clinical observations, being the last one also supported by the subjecdtive date in a large degree...
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Tesis inédita de la Universidad Complutense de Madrid, Facultad de Informática, Departamento de Arquitectura de Computadores y Automática, leída el 10-11-2022.