Published October 19, 2019 | Version v1
Conference paper Open

Hierarchical visual case-based reasoning for supporting breast cancer therapy

  • 1. LIMICS, Université Paris 13, Sorbonne Université, INSERM, 93017 Bobigny, France
  • 2. School of Computing and Mathematics, Ulster University, United Kingdom
  • 3. LIMICS, France AP-HP, DRCI, Paris, France
  • 4. LIMICS, France AP-HP, Hôpital Tenon, Département de Santé Publique, Paris, France

Description

Breast cancer therapy is particularly complex. Case-
based reasoning (CBR) is an approach that can support clinicians
when prescribing a therapy, and that is able to explain its
recommendation to the clinicians. In a previous work, we
proposed a visual CBR approach for helping clinicians to choose
a treatment between four main categories (surgery, chemother-
apy,...). However, these are broad categories and clinicians need
more details about the treatment, e.g. several surgeries exist
such as lumpectomy. Here, we extend our visual CBR approach
for fully supporting the therapy for breast cancer, using a
hierarchical approach: first, decide the category, then decide the
exact treatment, etc.

Files

ICABME19_1_Hierarchical visual case-based reasoning for supporting breast cancer therapy_JB.Lamy_Oct19.pdf

Additional details

Funding

European Commission
DESIREE – Decision Support and Information Management System for Breast Cancer 690238