Personalized linguistic summaries in smartphone-based monitoring of bipolar disorder patients

DOI

10.2991/eusflat-19.2019.56How to use a DOI?

Keywords

Linguistic summaries Time series Prediction Bipolar disorder

Abstract

Personalized linguistic summaries are developed with the use of protoforms in the sense of Yager and Kacprzyk. We discuss the construction and usefulness of such patient-dependent and disease-state-dependent linguistic summaries that may be examplified as `Most outgoing calls in mania state (disease period) are short compared to the calls recorded in the euthymia state (healthy period)'. Such linguistic summaries may become important features in the smartphone-based monitoring of the bipolar disorder patients and inform about the detected change in patient's state. The main advantage of the personalized linguistic summaries is their human-centricity. The performance of the proposed approach is illustrated with examples based on the real-life data collected within the observational study.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Katarzyna Kaczmarek-Majer
AU  - Olgierd Hryniewicz
AU  - Monika Dominiak
AU  - Łukasz Święcicki
PY  - 2019/08
DA  - 2019/08
TI  - Personalized linguistic summaries in smartphone-based monitoring of bipolar disorder patients
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 400
EP  - 407
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.56
DO  - 10.2991/eusflat-19.2019.56
ID  - Kaczmarek-Majer2019/08
ER  -