Biomedical Text Mining II by Sudeshna Sarkar

Explore advanced techniques in biomedical text mining through this comprehensive lecture. Delve into the intricacies of processing and analyzing medical literature, scientific papers, and clinical documents. Learn how to extract valuable insights from unstructured biomedical text data using natural language processing and machine learning algorithms. Discover methods for named entity recognition, relation extraction, and knowledge graph construction specific to the biomedical domain. Gain practical skills in developing text mining tools that can aid in literature review, drug discovery, clinical decision support, and biomedical research. Understand the challenges and ethical considerations in working with sensitive medical data. By the end of this 53-minute session, acquire the knowledge to apply cutting-edge text mining techniques to solve complex problems in healthcare and life sciences.