Skip to main content

Digitally Assisted Planning and Monitoring of Supportive Recommendations in Cancer Patients

  • Conference paper
  • First Online:
Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops (AIAI 2022)

Abstract

This publication presents a solution approach for digitally assisted planning and monitoring of supportive recommendations in cancer patients. This solution approach shall support patients in overcoming the after-effects of therapy effectively without extensive involvement of health professionals. Health professionals and patients are provided with a web application and a mobile application respectively, which use methods from mathematical decision support and artificial intelligence. This technological basis facilitates a closed-loop workflow for the cooperation of health professional and patient in oncological aftercare. The solution approach is illustrated for an exemplary case scenario of colorectal cancer.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Boolos, G.S., Burgess, J.P., Jeffrey, R.C.: Computability and Logic 4 (edn.) Cambridge University Press (2002)

    Google Scholar 

  2. Gunnar, V.A.: Borg: psychophysical bases of perceived exertion. Med. Sci. Sports Exerc. 14(5), 377–381 (1982)

    Google Scholar 

  3. Breiman, L., Friedman, J., Stone, C.J., Olshen, R.A.: Classification and Regression Trees. Chapman and Hall/CRC Press (1984)

    Google Scholar 

  4. Ehrgott, M.: Multicriteria Optimization. Springer-Verlag, Berlin Heidelberg (2005)

    MATH  Google Scholar 

  5. EU Horizon 2020 Project ONCORELIEF: ONCORELIEF website. www.oncorelief.eu (2020)

  6. European Parliament: EU Guidelines on ethics in artificial intelligence: Context and implementation. www.europarl.europa.eu/thinktank/en/document/EPRS$_$BRI(2019)640163 (2019)

  7. Gunning, D., Stefik, M., Choi, J., Miller, T., Stumpf, S., Yang, G.Z.: XAI - Explainable artificial intelligence. Sci. Robot. 4(37), eaay7120 (2019)

    Google Scholar 

  8. Hripcsak, G.: Writing Arden syntax medical logic modules. Comput. Biol. Med. 24(5), 331–363 (1994)

    Article  Google Scholar 

  9. Jordan, K., Feyer, P., Höller, U., Link, H., Wörmann, B., Jahn, F.: Supportive treatments for patients with cancer - clinical practise guideline. Deutsches Ärzteblatt Int. 114, 481–487 (2017)

    Google Scholar 

  10. LaValle, S.M.: Planning Algorithms. Cambridge University Press (2006)

    Google Scholar 

  11. National Cancer Institute: Types of cancer treatment. www.cancer.gov/about-cancer/treatment/types (2020)

  12. Robert-Koch-Institut: Cancer in Germany 2015/16. 12 edn. www.edoc.rki.de/handle/176904/8320 (2020)

  13. Spreckelsen, C., Spitzer, K.: Wissensbasen und Expertensysteme in der Medizin (Knowledge-bases and Expert Systems in Medicine). Verlag Vieweg + Teubner (2008)

    Google Scholar 

Download references

Acknowledgments

The research work presented herein is part of the EU Horizon 2020 project ONCORELIEF (Grant Agreement ID 875392) [5].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexander Scherrer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Scherrer, A. et al. (2022). Digitally Assisted Planning and Monitoring of Supportive Recommendations in Cancer Patients. In: Maglogiannis, I., Iliadis, L., Macintyre, J., Cortez, P. (eds) Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops. AIAI 2022. IFIP Advances in Information and Communication Technology, vol 652. Springer, Cham. https://doi.org/10.1007/978-3-031-08341-9_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-08341-9_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08340-2

  • Online ISBN: 978-3-031-08341-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics