In the same manner, doctors use many different expressions, ranging from colloquial to very formal, in describing a patient’s condition in their notes. ayfie understands all of these variations and can map them to the correct ICD 10 code.
For dealing with structure extraction and semantics, ayfie Inspector builds on well-researched linguistic frameworks based on the works of Zelig Harris, Maurice Gross and Franz Guenthner. This strong theoretical foundation combines ayfie’s blazingly fast proprietary extraction engine and exhaustive resources in multiple languages and domains.
ayfie aggregate predicates to uncover insights and answer critical questions
By aggregating extracted predicates of the same type, ayfie Inspector builds tables of events and facts in any domain required. For example, a large industrial manufacturer uses ayfie Inspector to analyze incident reports about turbine malfunctions. Service personnel write their reports in natural language and ayfie Inspector transforms them into structured, tabular content:
Based on the tables created by ayfie Inspector, the manufacturing company can now precisely answer questions including:
"Which part failed most often because of outside heat?"
"Which malfunction is the most likely for a certain class of parts?"
"Which environmental conditions are the most detrimental to the overall reliability of the component?"
This means all free-text service reports and even historical texts are analyzed rigidly — a process once impossible without time-consuming and expensive data transformation projects.
Extracting Insights From Big Data
ayfie solves business problems with advanced text analytics that leverage natural language processing, guided machine learning, linguistic analysis and years of experience.
Contact us and begin extracting real value from your content.