Abstract: In the recent years, information retrieval for providing location based medical services has become an important task and challenging in e-governance environments. For this purpose, many techniques were proposed by many researchers which focused on spatial query processing algorithms. However, most of the existing techniques could not provide the expected accuracy due to the use of only geographical information. Moreover, the data stored in the relational databases for developing geographical information systems are growing at a faster rate in the area of medical informatics. Therefore, it is necessary to develop more efficient techniques using computational intelligence in order to enhance the performance of location based service providing systems. This study proposes an intelligent location based service providing technique by effective storage and retrieval of medical data in cloud databases. Moreover, the proposed model uses rules to make decisions on selecting a suitable hospital in the location of the patient, recommendation of medical experts to be consulted and suggestion of alternative treatment plans. Experiments have been carried out in this work using Java programming with Amazon cloud for evaluating the proposed system. From these experiments, it is observed that the proposed system provides more accurate recommendations for selecting the hospitals and other medical services in Tamil Nadu through e-services.
K. Mohanram and TT. Mirnalinee, 2016. Intelligent Techniques for Location Based Services Using Medical Information Retrieval in Cloud Database. Asian Journal of Information Technology, 15: 2367-2370.