Graph-based techniques and strategies for diagnosis and characterization of neurodegenerative diseases
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2024
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05/04/2024
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Universidad Complutense de Madrid
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Abstract
En las últimas décadas, el abaratamiento de diversas pruebas médicas y moleculares ha aumentado el número de datos disponibles dentro de la práctica clínica y de investigación en medicina. esto, sumado al avance de las tecnologías de la información y la inteligencia artificial, han permitido el desarrollo de multitud de estrategias basadas en aprendizaje automático para apoyar la toma de decisiones en las distintas dimensiones que abarca la investigación médica y clínica. Todas estas aplicaciones tienen como principal objetivo generar nuevo conocimiento acerca de las enfermedades estudiadas y acercar a la práctica clínica a un sistema más personalizado, centrado en las caracterísiticas individuales de cada sujeto y sus necesidades como paciente...
In recent decades, the cheapening of various medical and molecular test has increased the amount of data available for clinical practice and medical research. This fact, together with the advance of information technologies and artificial intelligence, has allowed the development of many strategies based on machine learning to support decision-making in the different dimensions covered by medical and clinical research. The main objective of all these applications is to generate new knowledge about the diseases studied and to bring clinical practice closer to a more personalized system focused on the individual characteristics of each subject and their needs as a patient...
In recent decades, the cheapening of various medical and molecular test has increased the amount of data available for clinical practice and medical research. This fact, together with the advance of information technologies and artificial intelligence, has allowed the development of many strategies based on machine learning to support decision-making in the different dimensions covered by medical and clinical research. The main objective of all these applications is to generate new knowledge about the diseases studied and to bring clinical practice closer to a more personalized system focused on the individual characteristics of each subject and their needs as a patient...
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Tesis inédita de la Universidad Complutense de Madrid, Facultad de Informática, Departamento de Arquitectura de Computadores y Automática, leída el 5-4-2024.