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Descripción
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| Predicting the evolution of individuals is a rather new mining task with applications in medicine. Medical researchers are interested in the progress of a disease and in the evolution of individuals subjected to treatment. We investigate the evolution of patients on the basis of medical tests before and during treatment after brain trauma: we want to understand how similar patients can become to healthy participants. We face two challenges. First, we have less information on healthy participants than on the patients. Second, the values of the medical tests for patients, even after treatment started, remain well-separated from those of healthy people; this is typical for neurodegenerative diseases, but also for further brain impairments. Our approach encompasses methods for modelling patient evolution and for predicting the health improvement of different patient subpopulations, dealing with the above challenges. We test our approach on a cohort of patients treated after brain trauma and a corresponding cohort of controls. | |
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Internacional
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Si |
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Nombre congreso
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Brain Informatics and Health |
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Tipo de participación
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960 |
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Lugar del congreso
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Varsovia |
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Revisores
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Si |
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ISBN o ISSN
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0302-9743 |
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DOI
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10.1007/978-3-319-09891-3_35 |
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Fecha inicio congreso
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11/08/2014 |
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Fecha fin congreso
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14/08/2014 |
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Desde la página
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376 |
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Hasta la página
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387 |
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Título de las actas
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Brain Informatics and Health |