Abstract:
With the escalation of medical/healthcare data, the need for automation has increased. The augmentation of automation desires newer and better technologies. SymEx, is one such tool that aims to parse the documents present in this domain. It works on clinical text and is used to extract symptoms/syndromes from theses text. It has a state-of-the-art Information Extraction engine at its core which parses the user entered file and produces the symptoms mentioned in it. Then these symptoms are double checked using context analysis with the negex algorithm. The final list of symptoms produced are displayed to the user via a web portal. The web portal has a GUI which display the list of finals symptoms along with their MedGen ID’s. The user is given an option to print the final report. SymEx is the only tool in its domain that semantically parses the clinical text and generates results such as the symptoms and disorders present in it. Its uniqueness is due to its simplistic and easy to use GUI, and accurate results.
