Machine Learning Interpretability Methods to Characterize Brain Network Dynamics in Epilepsy

The rapid adoption of machine learning (ML) algorithms in a wide range of biomedical applications has highlighted issues of trust and the lack of understanding regarding the results generated by ML algorithms. Recent studies have focused on developing interpretable ML models and establish guidelines...

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Detalles Bibliográficos
Autores principales: Upadhyaya, Dipak P., Prantzalos, Katrina, Thyagaraj, Suraj, Shafiabadi, Nassim, Fernandez-BacaVaca, Guadalupe, Sivagnanam, Subhashini, Majumdar, Amitava, Sahoo, Satya S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327223/
https://www.ncbi.nlm.nih.gov/pubmed/37425941
http://dx.doi.org/10.1101/2023.06.25.23291874

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327223/
https://www.ncbi.nlm.nih.gov/pubmed/37425941
http://dx.doi.org/10.1101/2023.06.25.23291874

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