Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution
Main Authors: | Alaa Alomari, Hossam Faris, Pedro A. Castillo |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-01-01
|
Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10653452/?tool=EBI |
Similar Items
-
Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution.
by: Alaa Alomari, et al.
Published: (2023-01-01) -
Correction: Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution
Published: (2023-01-01) -
Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach
by: Maria Habib, et al.
Published: (2021-05-01) -
Improving the Performance of an Associative Classifier in the Context of Class-Imbalanced Classification
by: Carlos Alberto Rolón-González, et al.
Published: (2021-05-01) -
An Experimental Analysis of Drift Detection Methods on Multi-Class Imbalanced Data Streams
by: Abdul Sattar Palli, et al.
Published: (2022-11-01)