Classification of Psychosomatic's Symptoms of Depression: Iliou Versus PCA Preprocessing Methods

Theodoros Iliou, Georgia Konstantopoulou, Konstantinos Anastasopoulos, Christina Lymperopoulou, Georgios Mantas, Jonathan Rodriguez, Dimitrios Lymberopoulos, George Anastassopoulos

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    In this paper, we propose a novel data preprocessing method in order to facilitate the prediction performance of machine learning algorithms applied on datasets derived from mental patients. In this study, 136 questionnaires were distributed to mental patients - students with psychosomatic problems who were asked to volunteer at the University of Patras Specialty Health Service. The precision of the machine learning methods has to be very high for patients with this kind of issues, in order to achieve the sooner the possible the appropriate treatment. In our research, we used ILIOU data preprocessing method in order to enhance classification techniques for psychosomatic symptoms (i.e., depression). Firstly, we transformed the initial dataset with Principal Component Analysis and ILIOU data preprocessing methods, respectively. Afterwards, for the classification purpose we used seven machine learning classification algorithms with 10-fold cross validation method. According to the classification results, ILIOU preprocessing method led to a classification accuracy of 100% which is suitable for classification and prediction of psychosomatic symptoms.

    Original languageEnglish
    Title of host publication2020 IEEE 25th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2020 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728163390
    DOIs
    Publication statusPublished - 30 Sep 2020
    Event25th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2020 - Pisa, Italy
    Duration: 14 Sep 202016 Sep 2020

    Publication series

    Name2020 IEEE 25th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

    Conference

    Conference25th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2020
    Country/TerritoryItaly
    CityPisa
    Period14/09/2016/09/20

    Keywords

    • classification algorithms
    • data mining
    • Data preprocessing
    • depression
    • machine learning
    • psychosomatic health

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