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]

DEVELOPMENT

To predict a subjective behavior as emesis is a very difficult task. To simplify the problem the model has been approached using classification. The developed model classifies patients according following criterion, which is frequently used in medical environment:

1. Full protection (PCO), 0 vomits during the first 24 hours after Chemotherapy
2. Big protection (PMA), 1 or 2 vomits during the same period
3. 3. Small protection (PME) or Fail (Fr), more than 2 vomits.

The neural model is a full-connected Multilayer Perceptron with 22 input nodes. One hidden

layer with variable number of nodes, and three outputs nodes. ⁽²⁾

Fig.1 Multilayer perceptron.

The input layer nodes correspond to the most common risk factors of seven protocols of chemotherapy administrated at the university hospital Dr. Peset of Valencia. Seven of them are patient´s characteristics, other three are doses of antiemetics and the other twelve are doses of cytostatics. There is one output node for each possible answer to the treatment.

The classification model will have to overcome several difficulties:

• There is not always clear how many times a paciente has vomited,
• The groups for the classification are defined in a very narrow range,
• Not all the patients are monitored at the hospital.

Due to these irregularities patients are not always classified in their right group.

Discussion Board

Any Comment to this presentation?

[ABSTRACT] [INTRODUCTION] [DEVELOPMENT] [RESULTS] [IMAGES] [CONCLUSIONS] [BIBLIOGRAPHY] [Discussion Board]

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	[Pharmacology]	[Health Informatics]	[Oncology]

Antonio J. Serrano López, Gustavo Camps i Valls, EMILIO SORIA OLIVAS, NICOLÁS VICTOR JIMÉNEZ TORRÉS, José David Martín Guerrero, Jose Ramon Sepulveda Sanchis
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Last update: 15/01/00