Multilabel Classification of PubMed Articles

Multilabel Classification of PubMed Articles

Prof. Dr. Vipul Dalal, Atharva Malvade, Tanmay Yeware, Vini Tekwani

Department, Information Technology

Vidyalankar Institute Of Technology

Mumbai, India

Abstract—The exponential growth of biomedical and life sciences literature indexed in the PubMed database has created a pressing need for effective methods to categorize and organize this vast repository of scientific knowledge. Multi-label classification of PubMed articles has emerged as valuable tool to address this challenge. This report presents a comprehensive overview of the principles, methodologies, and applications of multilabel classification in the context of PubMed articles. It holds immense promise for structuring and leveraging the wealth of biomedical knowledge within the PubMed database. By categorizing articles into multiple relevant labels of categories, it serves as a valuable resource for researchers, healthcare professionals, and data scientists, ultimately advancing the accessibility and utilization of scientific literature in the field of biomedicine

Keywords—PubMed Articles, Multilabel Classification,  BioBERT, BertForSequenceClassification .