Biomedical Text Mining - Applications and Challenges: Studying applications and challenges of biomedical text mining for extracting and analyzing information from scientific literature and medical records

Abstract

Biomedical text mining (BTM) has emerged as a powerful tool in biomedical research, offering the ability to extract and analyze vast amounts of information from scientific literature and medical records. This paper provides an overview of the applications and challenges of BTM, highlighting its role in advancing biomedical research and healthcare. We discuss various applications of BTM, including information retrieval, information extraction, and knowledge discovery. Additionally, we explore the challenges associated with BTM, such as data complexity, domain specificity, and ethical considerations. By addressing these challenges, BTM has the potential to revolutionize biomedical research and improve patient care.