Hybrid Multi-Label Classification Model for Medical Applications Based on Adaptive Synthetic Data and Ensemble Learning

In recent years, both machine learning and computer vision have seen growth in the use of multi-label categorization. SMOTE is now being utilized in existing research for data balance, and SMOTE does not consider that nearby examples may be from different classes when producing synthetic samples. As...

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Detalles Bibliográficos
Autores principales: Priyadharshini, M., Banu, A. Faritha, Sharma, Bhisham, Chowdhury, Subrata, Rabie, Khaled, Shongwe, Thokozani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422387/
https://www.ncbi.nlm.nih.gov/pubmed/37571619
http://dx.doi.org/10.3390/s23156836

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422387/
https://www.ncbi.nlm.nih.gov/pubmed/37571619
http://dx.doi.org/10.3390/s23156836

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