Generating Fuzzy Linguistic Summaries for Menstrual Cycles

• Autorzy: Sosnowski Łukasz , Penza Tomasz

Identyfikatory

DOI

10.15439/2020F202

• Konferencja: Federated Conference on Computer Science and Information Systems (15 ; 06-09.09.2020 ; Sofia, Bulgaria)
• Języki publikacji: EN

Abstrakty

EN

This paper presents a method of generating linguistic summaries of women's menstrual cycles based on the set of concepts describing various aspects of the cycles. These concepts enable description of menstrual cycles that are readable for humans, but they also provide high-level information that can be used as control input for other data processing actions such as e.g. anomaly detection. The labels signifying these concepts are assigned to cycles by means of multivariate time series analysis. The corresponding algorithm is a subsystem of a bigger solution created as a part of an R&D project.

Słowa kluczowe

EN

computational linguistics; fuzzy logic; fuzzy set theory; gynaecology; medical computing; time series

PL

lingwistyka komputerowa; logika rozmyta; teoria zbiorów rozmytych; ginekologia; obliczenia medyczne; szereg czasowy

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2020
• Tom: Vol. 21
• Strony: 119--128
• Opis fizyczny: Bibliogr. 18 poz.,

Twórcy

autor

Sosnowski Łukasz

• Systems Research Institute, Polish Academy of Sciences, Newelska 6, 01-447 Warsaw, Poland

autor

Penza Tomasz

• OvuFriend Sp. z o.o., Złota 61/100, 00-819 Warsaw, Poland

Bibliografia

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Uwagi

1. Track 1: Artificial Intelligence

2. Technical Session: 15th International Symposium Advances in Artificial Intelligence and Applications

3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).