Poster | 6th Internet World Congress for Biomedical Sciences |
Antonio J. Serrano López(1), Gustavo Camps i Valls(2), EMILIO SORIA OLIVAS(3), NICOLÁS VICTOR JIMÉNEZ TORRÉS(4), José David Martín Guerrero(5), Jose Ramon Sepulveda Sanchis(6)
(1)(6)Dpto. Electrónica. Universidad de Valencia - Burjasot. Spain
(2)Universitat de València - Burjassot, Valencia. Spain
(3)DPTO INGENIERÍA ELECTRONICA. FACULTAD DE FISICAS - BURJASSOT/VALENCIA. Spain
(4)DPTO FARMACIA Y TECNOLOGÍA FARMACEÚTICA. FACULTAD DE FARMACIA - BURJASSOT/VALENCIA. Spain
(5)G.P.D.S. Departament d´Enginyeria Electrònica. Universitat de València - Burjassot. Spain
[Pharmacology] |
[Health Informatics] |
[Oncology] |
Classification according to emesis level is a very difficult task. This is caused by the great number of physiological influences and the fact that patients are not always classified in their right group.
In spite of all troubles, a model based in neural network has been obtained that distinguishes the most problematic patients in the right way and maintains an appropriate behavior for the less problematic groups.
In the future, this model could be used as a tool to help medical personal to take decisions. This will improve control over adverse effects of chemoterapy, improving the live quality of oncologic patients.
[Pharmacology] |
[Health Informatics] |
[Oncology] |