About this document
A Survey of Multi-Label, Multi-Class Text Classification Techniques in Healthcare Recommendation Systems by meghanay67 is a document available to read on EtoBox.
This survey reviews multi-label, multi-class text classification (MLMC-TC) techniques in healthcare recommendation systems, emphasizing their role in extracting clinical concepts from diverse textual data. It discusses challenges such as label imbalance and noisy annotations, while highlighting key datasets and applications like clinical coding and specialist recommendations. Future research directions are proposed, focusing on scalability, interpretability, and privacy-preserving methods.
- Author
- meghanay67
- Language
- EN