Abstract
Biomedical Informatics is the application of information technology and computational techniques to analyze and process the biomedical data starting from molecular level to social level, to discover new knowledge and to cater to the information needs of different user groups like biomedical researchers, health workers and patients. Recent advancement in machine learning based artificial intelligence has potential to provide meaningful outcomes when applied to biomedical data. Much of the biomedical knowledge lies buried in biomedical research articles as natural language text. In this chapter we have described three important deep learning based natural language processing techniques - Information Retrieval, Named Entity Recognition and Knowledge Graphs. Information retrieval can help in retrieving relevant information based on user queries. Named entity recognition helps in identifying biomedical entities like disease, symptom, gene, drug etc. Knowledge graphs could help in knowledge discovery by unifying different information into a single data model and provide tools for inferencing.
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