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

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 patientdependent and disease-state-dependent linguistic summaries that may be exampli ed 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 smartphonebased 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.

[1]  Daniel Sánchez,et al.  On generating linguistic descriptions of time series , 2016, Fuzzy Sets Syst..

[3]  E. Walker,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[4]  Ronald R. Yager,et al.  An overview of methods for linguistic summarization with fuzzy sets , 2016, Expert Syst. Appl..

[5]  José M. Merigó,et al.  Towards Human-Centric Aggregation via Ordered Weighted Aggregation Operators and Linguistic Data Summaries: A New Perspective on Zadeh's Inspirations , 2019, IEEE Computational Intelligence Magazine.

[6]  Lotfi A. Zadeh,et al.  A COMPUTATIONAL APPROACH TO FUZZY QUANTIFIERS IN NATURAL LANGUAGES , 1983 .

[7]  Macarena Espinilla,et al.  Fuzzy Linguistic Protoforms to Summarize Heart Rate Streams of Patients with Ischemic Heart Disease , 2019, Complex..

[8]  Oscar Mayora-Ibarra,et al.  Smartphone-Based Recognition of States and State Changes in Bipolar Disorder Patients , 2015, IEEE Journal of Biomedical and Health Informatics.

[9]  Olgierd Hryniewicz,et al.  Monitoring of Time Series Using Fuzzy Weighted Prediction Models , 2018, SMPS.

[10]  Gracián Triviño,et al.  Linguistic description of the human gait quality , 2013, Eng. Appl. Artif. Intell..

[11]  Rita Castillo-Ortega,et al.  Linguistic local change comparison of time series , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[12]  H. Lôo.  [On bipolar disorder]. , 2008, L'Encephale.

[13]  Ronald R. Yager,et al.  A new approach to the summarization of data , 1982, Inf. Sci..

[14]  Erin E Michalak,et al.  Online and Mobile Technologies for Self-Management in Bipolar Disorder: A Systematic Review , 2017, Psychiatric rehabilitation journal.

[15]  Juan Moreno García,et al.  Description of multivariate time series by means of trends characterization in the fuzzy domain , 2016, Fuzzy Sets Syst..

[16]  Olgierd Hryniewicz,et al.  Bayesian analysis of time series using granular computing approach , 2016, Appl. Soft Comput..

[17]  Anna Wilbik,et al.  Linguistic summarization of time series using a fuzzy quantifier driven aggregation , 2008, Fuzzy Sets Syst..

[18]  Anna Wilbik,et al.  Linguistic Prototypes for Data From Eldercare Residents , 2014, IEEE Transactions on Fuzzy Systems.

[19]  Janusz Kacprzyk,et al.  LINGUISTIC SUMMARIES OF DATA USING FUZZY LOGIC , 2001 .

[20]  Bernadette Bouchon-Meunier,et al.  Interpretability of fuzzy linguistic summaries , 2016, Fuzzy Sets Syst..

[21]  Olgierd Hryniewicz,et al.  Application of linguistic summarization methods in time series forecasting , 2019, Inf. Sci..

[22]  J. Rabe-Jabłońska,et al.  [Affective disorders in the fourth edition of the classification of mental disorders prepared by the American Psychiatric Association -- diagnostic and statistical manual of mental disorders]. , 1993, Psychiatria polska.

[23]  A. Ramos-Soto,et al.  On the role of linguistic descriptions of data in the building of natural language generation systems , 2016, Fuzzy Sets Syst..

[24]  Olgierd Hryniewicz,et al.  Control Charts Designed Using Model Averaging Approach for Phase Change Detection in Bipolar Disorder , 2018, SMPS.

[25]  Marie-Jeanne Lesot,et al.  Linguistic summaries of locally periodic time series , 2016, Fuzzy Sets Syst..

[26]  Slawomir Zadrozny,et al.  Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools , 2005, Inf. Sci..