Soft Computing

, Volume 22, Issue 1, pp 79–90 | Cite as

Behavior patterns in hormonal treatments using fuzzy logic models

  • J. G. EnríquezEmail author
  • V. Cid
  • N. Muntaner
  • J. Aroba
  • J. Navarro
  • F. J. Domínguez-Mayo
  • M. J. Escalona
  • I. Ramos
Methodologies and Application


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.


Hormonal treatments IVF Fuzzy logic Data mining 



This research has been supported by the MeGUS project (TIN2013-46928-C3-3-R), Pololas project (TIN2016-76956-C3-2-R), by the SoftPLM Network (TIN2015-71938-REDT) of the Spanish the Ministry of Economy and Competitiveness and Fujitsu Laboratories of Europe (FLE).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interests.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Department of Computer Languages and SystemsUniversity of SevilleSevilleSpain
  2. 2.Department of Information TechnologiesUniversity of HuelvaHuelvaSpain
  3. 3.INEBIRHospital Victoria EugeniaSevilleSpain

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