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Algorithm for Constructing a Classifier Team Using a Modified PCA (Principal Component Analysis) in the Task of Diagnosis of Acute Lymphocytic Leukaemia Type B-CLL

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Hybrid Artificial Intelligent Systems (HAIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11734))

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Abstract

Systems of data recognition and data classification are getting more and more developed. There appear newer algorithms that solve more difficult and complex decision problems. Very good results are obtained using sets of classifiers. The authors in their research focused on certain data characteristics. The characteristics concerns recognition of classes of objects whose features can be grouped. Clusters created in this manner can contribute to better recognition of certain decision classes. One such example is a diagnosis of forecast in the case of acute lymphocytic chronic leukaemia B-CLL type. In this document, the authors present a modified selection method of features of the PCA object. The modification concerns the rotation of objects in relation to decision classes. In addition to grouping similar features using Varimax rotation, a procedure for grouping patients in these PCA groups was developed. Within each PCA, two classifiers - strong and weak ones were built. In the research part, the developed method was compared to the one-stage recognition algorithms known from the literature. The obtained results have a significant contribution to medical diagnostics. They allow to develop a procedure for treatment of B-CLL lymphocytic leukaemia. Making an appropriate diagnosis allows to increase a patient’s survival chance by implementing appropriate treatment.

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Acknowledgement

This work was supported by the statutory funds of the Department of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Science and Technology.

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Authors and Affiliations

  1. Department of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Mariusz Topolski

  2. WSB Universities, Fabryczna 29/31, 53-609, Wroclaw, Poland

    Katarzyna Topolska

Authors
  1. Mariusz Topolski
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  2. Katarzyna Topolska
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Correspondence to Katarzyna Topolska .

Editor information

Editors and Affiliations

  1. University of León, León, Spain

    Hilde Pérez García

  2. University of León, León, Spain

    Lidia Sánchez González

  3. University of León, León, Spain

    Manuel Castejón Limas

  4. University of A Coruña, Ferrol, Spain

    Héctor Quintián Pardo

  5. University of Salamanca, Salamanca, Spain

    Emilio Corchado Rodríguez

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Topolski, M., Topolska, K. (2019). Algorithm for Constructing a Classifier Team Using a Modified PCA (Principal Component Analysis) in the Task of Diagnosis of Acute Lymphocytic Leukaemia Type B-CLL. In: Pérez García, H., Sánchez González, L., Castejón Limas, M., Quintián Pardo, H., Corchado Rodríguez, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2019. Lecture Notes in Computer Science(), vol 11734. Springer, Cham. https://doi.org/10.1007/978-3-030-29859-3_52

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  • DOI: https://doi.org/10.1007/978-3-030-29859-3_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29858-6

  • Online ISBN: 978-3-030-29859-3

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