Abstract:
This paper combines an analysis of the accessibility of NLP and GIS using traditional visual interfaces on health care systems. Natural Language Processing (NLP) approach provides support for the interaction between users and the information system. Amongst many GIS functions, the location systems play a big role by optimizing urban mobility data to users as it provides location-based services process through NLP tools. In this scenario, NLP provides users with precise expressions, consultation, and queries of synonyms and qualitative expressions of users (patients). With data exchange in NLP and GIS, a very simplified method proposes a self-powerful interface that enables users wherever. NLP helps medical personnel to communicate with patients and collect data from patients while GIS help identify, locate and optimize urban mobility data for remote specialists and emergency worker.
