Mining Text for Disease Diagnosis

Competitive Intelligence Text Mining: Words Speak

Competitive intelligence (CI) has become one of the major subjects for researchers in recent years. The present research is aimed to achieve a part of the CI by investigating the scientific articles on this field through text mining in three interrelated steps. In the first step, a total of 1143 articles released between 1987 and 2016 were selected by searching the phrase "competitive intellige...

Revealing Disease Similarities by Text Mining

Texts written in human language contain structured information that is not easily parsable by computers. Text mining relies on large text corpora to derive rules which can be used by automatic means to extract automatically such information. Scientific literature represents the main source of information to study any biological phenomenon. While some phenomenon are studied to the point that cor...

Text Mining for Biomedicine

Text mining provides the automated means to manage information overload and overlook. By adding meaning to text, text mining techniques produce a much more structured analysis of textual knowledge than do simple word searches, and can provide powerful tools for knowledge discovery in biomedicine. In this chapter, the author focus on the text mining services for biomedicine offered by the United...

DiMeX: A Text Mining System for Mutation-Disease Association Extraction

The number of published articles describing associations between mutations and diseases is increasing at a fast pace. There is a pressing need to gather such mutation-disease associations into public knowledge bases, but manual curation slows down the growth of such databases. We have addressed this problem by developing a text-mining system (DiMeX) to extract mutation to disease associations f...

Text Mining for Safety