Medication recommendation system based on clinical documents

Designing medication recommendation system is a need for the fast growing world. In this fast growing world, the need for the application which recommend a medication led to a doctor friendly and hospital free atmosphere for all users all over the world. In this paper an unified extraction system with stanford parser is used for extraction of medical terms. Then K-means clustering algorithm clusters the diseases and a filtering method find out the desired medication.