Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43838, first published .
Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning–Driven Clinical Decision Support Tool

Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning–Driven Clinical Decision Support Tool

Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning–Driven Clinical Decision Support Tool

Georgios C Manikis   1 * , PhD ;   Nicholas J Simos   1 * , MSc ;   Konstantina Kourou   2, 3 , PhD ;   Haridimos Kondylakis   1 , PhD ;   Paula Poikonen-Saksela   4 , MD, PhD ;   Ketti Mazzocco   5, 6 , Prof Dr ;   Ruth Pat-Horenczyk   7 , Prof Dr ;   Berta Sousa   8 , MD ;   Albino J Oliveira-Maia   9 , MPH, MD, PhD ;   Johanna Mattson   4 , Prof Dr ;   Ilan Roziner   10 , PhD ;   Chiara Marzorati   5 , PhD ;   Kostas Marias   1 , Prof Dr ;   Mikko Nuutinen   11 , PhD ;   Evangelos Karademas   1 , Prof Dr ;   Dimitrios Fotiadis   2, 3 , Prof Dr

1 Foundation for Research and Technology-Hellas, Institute of Computer Science, Heraklion, Greece

2 Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece

3 Foundation for Research and Technology-Hellas, Biomedical Research Institute, Ioannina, Greece

4 Comprehensive Cancer Center, Helsinki University Hospital, University of Helsinki, Helsinki, Finland

5 Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy

6 Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy

7 School of Social Work and Social Welfare,The Hebrew University of Jerusalem, Jerusalem, Israel

8 Breast Unit, Champalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal

9 Champalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal

10 Department of Communication Disorders, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

11 Nordic Healthcare Group, Helsinkifin, Finland

*these authors contributed equally

Corresponding Author:

  • Dimitrios Fotiadis, Prof Dr
  • Foundation for Research and Technology-Hellas, Biomedical Research Institute
  • University campus of Ioannina
  • Building E5
  • Ioannina, GR 45110
  • Greece
  • Phone: 30 2651009006
  • Email: fotiadis@uoi.gr