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Behavior patterns in hormonal treatments using fuzzy logic models

 

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Author: González Enríquez, José
Cid de la Paz, Virginia
Muntaner, N.
Aroba, J.
Navarro, J.
Domínguez Mayo, Francisco José
Escalona Cuaresma, María José
Ramos Román, Isabel
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2018
Published in: Soft Computing, 22 (1), 79-90.
Document type: Article
Abstract: Assisted reproductive technologies are a combination of medical strategies designed to treat infertility patients. Ideal stimulation treatment has to be individualized, but one of the main challenges which clinicians face in the everyday clinic is how to select the best medical protocol for a patient. This work aims to look for behavior patterns in this kind of treatments, using fuzzy logic models with the objective of helping gynecologists and embryologists to make decisions that could improve the process of in vitro fertilization. For this purpose, a real-world dataset composed of one hundred and twenty-three (123) patients and five hundred and fifty-nine (559) treatments applied in relation to such patients provided by an assisted reproduction clinic, has been used to obtain the fuzzy models. As conclusion, this work corroborates some known clinic experiences, provides some new ones and proposes a set of questions to be solved in future experiments.
Cite: González Enriquez, J., Cid de la Paz, V., Muntaner, N., Aroba, J., Navarro, J., Domínguez Mayo, F.J.,...,Ramos Román, I. (2018). Behavior patterns in hormonal treatments using fuzzy logic models. Soft Computing, 22 (1), 79-90.
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Format: PDF

URI: https://hdl.handle.net/11441/88340

DOI: 10.1007/s00500-017-2614-7

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This work is under a Creative Commons License: 
Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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