A large part of health data is in the form of text. Unlike numbers, text can’t be merged, subtracted or multiplied. At the same time, the statistical analysis of large texts is necessary for finding trends, identifying contexts, classifying documents, etc.

Since 2009, STACC has developed a set of text analytics tools, for example, solutions for automatically anonymizing sensitive health data and for finding content referring to a specific illness from open text. We are the only company in the world that has analyzed health records of an entire population (Estonia).

If you’re interested in applying text analytics in the field of personalized medicine for processing textual data, order a free text analytics consultation by filling out the form below.