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A Clinical Support System Based on Quality of Life Estimation

  • Patient Facing Systems
  • Published:
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Abstract

Quality of life is a concept influenced by social, economic, psychological, spiritual or medical state factors. More specifically, the perceived quality of an individual’s daily life is an assessment of their well-being or lack of it. In this context, information technologies may help on the management of services for healthcare of chronic patients such as estimating the patient quality of life and helping the medical staff to take appropriate measures to increase each patient quality of life. This paper describes a Quality of Life estimation system developed using information technologies and the application of data mining algorithms to access the information of clinical data of patients with cancer from Otorhinolaryngology and Head and Neck services of an oncology institution. The system was evaluated with a sample composed of 3013 patients. The results achieved show that there are variables that may be significant predictors for the Quality of Life of the patient: years of smoking (p value 0.049) and size of the tumor (p value < 0.001). In order to assign the variables to the classification of the quality of life the best accuracy was obtained by applying the John Platt’s sequential minimal optimization algorithm for training a support vector classifier. In conclusion data mining techniques allow having access to patients additional information helping the physicians to be able to know the quality of life and produce a well-informed clinical decision.

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Notes

  1. European Organisation for Research and Treatment of Cancer

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Acknowledgments

This work was funded by QoLis - Quality of Life Platform Project, N°2013/34034 QREN SI I&DT, (NUP, NORTE-07-0202-FEDER-034Ú34). The authors also acknowledge: LIACC (PEst-OE/EEI/UI0027/2014).

Author information

Authors and Affiliations

  1. LIACC – Lab. Inteligência Artificial e Ciência de Computadores, Porto, Portugal

    Brígida Mónica Faria, Joaquim Gonçalves, Luis Paulo Reis & Álvaro Rocha

  2. ESTSP/IPP – Esc. Sup. Tecnologia da Saúde do Porto/Instituto Politécnico do Porto, Vila Nova de Gaia, Portugal

    Brígida Mónica Faria

  3. EST/IPCA – Esc. Superior de Tecnologia/Instituto Politécnico do Cávado e do Ave, Vila Frescainha, Portugal

    Joaquim Gonçalves

  4. Departamento de Sistemas de Informação, EEUM – Escola de Engenharia da Universidade do Minho, Guimarães, Portugal

    Luis Paulo Reis

  5. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

Authors
  1. Brígida Mónica Faria
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  2. Joaquim Gonçalves
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  3. Luis Paulo Reis
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  4. Álvaro Rocha
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Corresponding author

Correspondence to Brígida Mónica Faria.

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This article is part of the Topical Collection on Patient Facing Systems

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Faria, B.M., Gonçalves, J., Reis, L.P. et al. A Clinical Support System Based on Quality of Life Estimation. J Med Syst 39, 114 (2015). https://doi.org/10.1007/s10916-015-0308-1

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  • DOI: https://doi.org/10.1007/s10916-015-0308-1

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