A review of AI and Data Science support for cancer management.

Journal: Artificial intelligence in medicine
Published Date:

Abstract

INTRODUCTION: Thanks to improvement of care, cancer has become a chronic condition. But due to the toxicity of treatment, the importance of supporting the quality of life (QoL) of cancer patients increases. Monitoring and managing QoL relies on data collected by the patient in his/her home environment, its integration, and its analysis, which supports personalization of cancer management recommendations. We review the state-of-the-art of computerized systems that employ AI and Data Science methods to monitor the health status and provide support to cancer patients managed at home.

Authors

  • E Parimbelli
    University of Pavia, Italy. Electronic address: enea.parimbelli@gmail.com.
  • S Wilk
    Poznan University of Technology, Poland.
  • R Cornet
    Amsterdam University Medical Centre, the Netherlands.
  • P Sniatala
    Poznan University of Technology, Poland.
  • K Sniatala
    Poznan University of Technology, Poland.
  • S L C Glaser
    Amsterdam University Medical Centre, the Netherlands.
  • I Fraterman
    Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • A H Boekhout
    Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • M Ottaviano
    Universidad Politecnica de Madrid, Spain.
  • M Peleg
    University of Haifa, Israel.