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Network of Fuzzy Comparators for Ovulation Window Prediction

Authors
  • Sosnowski, Łukasz1
  • Szymusik, Iwona2
  • Penza, Tomasz3
  • 1 Polish Academy of Sciences,
  • 2 Medical University of Warsaw,
  • 3 OvuFriend Sp. z o.o., Złota 61/100, 00-819 Warsaw, Poland
Type
Published Article
Journal
Information Processing and Management of Uncertainty in Knowledge-Based Systems
Publication Date
May 16, 2020
Volume
1239
Pages
800–813
Identifiers
DOI: 10.1007/978-3-030-50153-2_59
PMCID: PMC7274659
Source
PubMed Central
Keywords
License
Unknown

Abstract

This paper presents the problem and the solution of ovulation date prediction based on simple data acquired by a woman in home environment. It describes a method of processing collected data as a multivariate time series. The novelty of this algorithm lies in its ability to predict the ovulation date and not only to retrospectively detect it. This is achieved by applying the fuzzy network of comparators (NoC) to compare the menstrual cycle being analyzed with the reference set of historical cycles.

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