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Network of Fuzzy Comparators for Ovulation Window Prediction
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 dat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274659/ http://dx.doi.org/10.1007/978-3-030-50153-2_59 |
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author | Sosnowski, Łukasz Szymusik, Iwona Penza, Tomasz |
author_facet | Sosnowski, Łukasz Szymusik, Iwona Penza, Tomasz |
author_sort | Sosnowski, Łukasz |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7274659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72746592020-06-08 Network of Fuzzy Comparators for Ovulation Window Prediction Sosnowski, Łukasz Szymusik, Iwona Penza, Tomasz Information Processing and Management of Uncertainty in Knowledge-Based Systems Article 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. 2020-05-16 /pmc/articles/PMC7274659/ http://dx.doi.org/10.1007/978-3-030-50153-2_59 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Sosnowski, Łukasz Szymusik, Iwona Penza, Tomasz Network of Fuzzy Comparators for Ovulation Window Prediction |
title | Network of Fuzzy Comparators for Ovulation Window Prediction |
title_full | Network of Fuzzy Comparators for Ovulation Window Prediction |
title_fullStr | Network of Fuzzy Comparators for Ovulation Window Prediction |
title_full_unstemmed | Network of Fuzzy Comparators for Ovulation Window Prediction |
title_short | Network of Fuzzy Comparators for Ovulation Window Prediction |
title_sort | network of fuzzy comparators for ovulation window prediction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274659/ http://dx.doi.org/10.1007/978-3-030-50153-2_59 |
work_keys_str_mv | AT sosnowskiłukasz networkoffuzzycomparatorsforovulationwindowprediction AT szymusikiwona networkoffuzzycomparatorsforovulationwindowprediction AT penzatomasz networkoffuzzycomparatorsforovulationwindowprediction |