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Multivariate Ovulation Window Detection at OvuFriend

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Book cover Rough Sets (IJCRS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11499))

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Abstract

We present new results related to retrospective detection of ovulation days basing on information entered by the users of one of online platforms available in the market. Comparing to our previous studies, we improve the accuracy of algorithms which are based on evaluation and synthesis of multivariate data sources. Results are reported for 224 menstrual cycles which were labeled by medical experts. In the experiments, we pay special attention to the aspect of uncertainty associated with the tagging process.

Co-financed by the EU Smart Growth Operational Programme 2014–2020 under the project “Development of New World Scale Solutions in the Field of Machine Learning Supporting Family Planning and Overcoming the Infertility Problem”, POIR.01.01.01-00-0831/17-00.

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Author information

Authors and Affiliations

  1. OvuFriend Sp. z o.o., Warsaw, Poland

    Joanna Fedorowicz, Wojciech Chaber, Łukasz Miłobędzki, Tomasz Penza, Jadwiga Sosnowska, Katarzyna Wójcicka & Karol Zaleski

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Łukasz Sosnowski

  3. Institute of Informatics, University of Warsaw, Warsaw, Poland

    Dominik Ślęzak

  4. Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland

    Iwona Szymusik

Authors
  1. Joanna Fedorowicz
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  2. Łukasz Sosnowski
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  3. Dominik Ślęzak
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  4. Iwona Szymusik
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  5. Wojciech Chaber
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  6. Łukasz Miłobędzki
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  7. Tomasz Penza
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  8. Jadwiga Sosnowska
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  9. Katarzyna Wójcicka
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  10. Karol Zaleski
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Corresponding author

Correspondence to Dominik Ślęzak .

Editor information

Editors and Affiliations

  1. University of Debrecen, Debrecen, Hungary

    Tamás Mihálydeák

  2. Southwest Petroleum University, Chengdu, China

    Fan Min

  3. Chongqing University of Posts and Telecommunications, Chongqing, China

    Guoyin Wang

  4. Indian Institute of Technology Kanpur, Kanpur, India

    Mohua Banerjee

  5. Fujian Normal University, Fuzhou, China

    Ivo Düntsch

  6. University of Rzeszów, Rzeszow, Poland

    Zbigniew Suraj

  7. University of Milano-Bicocca, Milan, Italy

    Davide Ciucci

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Fedorowicz, J. et al. (2019). Multivariate Ovulation Window Detection at OvuFriend. In: Mihálydeák, T., et al. Rough Sets. IJCRS 2019. Lecture Notes in Computer Science(), vol 11499. Springer, Cham. https://doi.org/10.1007/978-3-030-22815-6_31

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  • DOI: https://doi.org/10.1007/978-3-030-22815-6_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22814-9

  • Online ISBN: 978-3-030-22815-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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