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6th Internet World Congress for Biomedical Sciences

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Determination of the Protection Level for Post Chemotherapy Emesis with a Multilayer Perceptron.

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

[ABSTRACT] [INTRODUCTION] [DEVELOPMENT] [RESULTS] [IMAGES] [CONCLUSIONS] [BIBLIOGRAPHY] [Discussion Board]
DEVELOPMENT Previous: DIFFERENT ANXIOLYTIC EFFECTS OF DIAZEPAM IN FISCHER 344 RATS AND TWO STOCKS OF WISTAR RATS IN THE ELEVATED PLUS MAZE Previous: NEMESIS: A new telemedicine approach for co-operative work on cardiology Previous: Analysis Of The Results Of Surgical Treatment For Squamous Cell Carcinoma Of Mobile Tongue And Base Of Tongue IMAGES
[Pharmacology]
Next: GENTAMICIN CONTAINING SURGICAL BONE CEMENT: 
IN VITRO ELUTION CHARACTERISTICS OF PALACOS® AND PALAMED®
[Health Informatics]
Next: Decision Making Aid for Digoxin Administration with Neural Networks
[Oncology]
Next: Analysis of the outcome of the surgical treatment for squamous cell carcinoma of the oral cavity and oropharynx.

RESULTS

The neural network was trained with a subset of 628 samples from the 748 original ones, using several cost functions. Under then we can find quadratic, entropic, error modulus and the one corresponding to Minkowski´s norm. The neural networks were obtained by cross-validation using the rest of the 120 samples.

The performance measure used in this paper is an extension of the concepts of sensibility and specificity broadly used in medicine. The measure of successes has not been used due to the great difference of cases among the three groups.

We define sensibility (Se) and specificity (Sp) as:

The best cost function was the entropic function obtaining the highest values in Se+Sp. (3)

It practically make a correct classification of all the patients of the group PME (patient more harmed by the emesis). Another fact is that the number of connections remainds the smallest one compared to the best nets obtained using the other cost functions.

Fig.3 Results of a Multilayer Perceptron with a neurons structure 22x10x10x3 training with entropic function


Discussion Board
Discussion Board

Any Comment to this presentation?

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

DEVELOPMENT Previous: DIFFERENT ANXIOLYTIC EFFECTS OF DIAZEPAM IN FISCHER 344 RATS AND TWO STOCKS OF WISTAR RATS IN THE ELEVATED PLUS MAZE Previous: NEMESIS: A new telemedicine approach for co-operative work on cardiology Previous: Analysis Of The Results Of Surgical Treatment For Squamous Cell Carcinoma Of Mobile Tongue And Base Of Tongue IMAGES
[Pharmacology]
Next: GENTAMICIN CONTAINING SURGICAL BONE CEMENT: 
IN VITRO ELUTION CHARACTERISTICS OF PALACOS® AND PALAMED®
[Health Informatics]
Next: Decision Making Aid for Digoxin Administration with Neural Networks
[Oncology]
Next: Analysis of the outcome of the surgical treatment for squamous cell carcinoma of the oral cavity and oropharynx.
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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