Clinically interpretable multiclass neural network for discriminating cardiac diseases
The proposed multiclass neural network constructed using the AdvRS&LP represents a promising deep-learning tool for discriminating several cardiac diseases while ensuring clinical interpretability.
Authors
- Micaela Morettini (ORCID: https://orcid.org/0000-0002-8327-8379)
- Agnese Sbrollini (ORCID: https://orcid.org/0000-0002-9152-7216)
- Cees A. Swenne (ORCID: https://orcid.org/0000-0001-9801-2760)
- Laura Burattini (ORCID: https://orcid.org/0000-0002-9474-7046)
- Chiara Leoni
Institutions
- Marche Polytechnic University (IT)
- Leiden University Medical Center (NL)
Publication Details
- Journal
- Heliyon
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e41195
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00