Multi Label Classification Of Biomedical

In biomedical text, multi-label classification refers to the task of annotating multiple related labels to a single text segment simultaneously. Its goal is to identify and extract various medical concepts and entities within the text through machine learning algorithms, achieving precise label assignment. This method has significant application value in disease diagnosis, drug research, clinical decision support, and other fields, as it can significantly improve the efficiency and accuracy of information retrieval and data management.