Predicting chemotherapy-induced thrombotoxicity by NARX neural networks and transfer learning
NARX networks can be utilized to predict an individual's thrombotoxic response to cytotoxic chemotherapy treatment. For reasonable model learning, we recommend at least three well-spaced measurements per cycle: at baseline, during the nadir phase and during the recovery phase. We aim at generalizing our approach to other treatment scenarios and blood lineages in the future.
Authors
- Yuri Kheifetz (ORCID: https://orcid.org/0000-0002-8356-2724)
- Markus Scholz (ORCID: https://orcid.org/0000-0002-4059-1779)
- Marie Steinacker (ORCID: https://orcid.org/0009-0007-1568-1290)
Institutions
- Leipzig University of Applied Sciences (DE)
- Leipzig University (DE)
Publication Details
- Journal
- Journal of Cancer Research and Clinical Oncology
- Published
- 2024-10-13
- DOI
- https://doi.org/10.1007/s00432-024-05985-y
- Citations
- 3
- Primary Topic
- Model Reduction and Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- Bundesministerium für Bildung und Forschung
- Universität Leipzig