Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
This study demonstrates the feasibility of using ECG signals and machine learning for non-invasive neoplasm diagnosis. By providing interpretable insights into cardio-neoplasm interactions, this method addresses gaps in diagnostics and supports integration into broader diagnostic and therapeutic frameworks.
Authors
- Nils Strodthoff (ORCID: https://orcid.org/0000-0003-4447-0162)
- Juan Miguel Lopez Alcaraz
- Wilhelm Haverkamp (ORCID: https://orcid.org/0000-0002-6183-2519)
Institutions
- Carl von Ossietzky Universität Oldenburg (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Cardio-Oncology
- Published
- 2025-07-26
- DOI
- https://doi.org/10.1186/s40959-025-00370-1
- Citations
- 2
- Primary Topic
- Chemotherapy-induced cardiotoxicity and mitigation
- Type
- article
- Field-Weighted Citation Impact
- 2.78
Funders
- Carl von Ossietzky Universität Oldenburg