Information Retrieval Method to Extract Relationships between Gene and Diseases

This paper presents a method for extracting information of genes and diseases, implemented for the Institut Pasteur in Uruguay, using NLP techniques. Because of the vast amount of information available in biomedical domain, using NLP techniques proves to be useful in order to extract decision making information. In this case the databases OMIM, Pub Med, Mesh and HUGO were accessed to automate the searches that usually scientists do manually. Articles where analyzed both syntactically and statistically in order to extract gene-disease information. Biomedical domain presents special challenges while implementing NLP techniques, which had to be addressed during this project.