Effective Search Mechanism For Finding Nearest Healthcare Facilities

被引:0
|
作者
Abinaya, M. [1 ]
Ganesan, R. [2 ]
机构
[1] Velammal Engn Coll, TIFAC CORE Pervas Comp Technol, Mobile & Pervas Comp, Madras 600066, Tamil Nadu, India
[2] Velammal Engn Coll, TIFAC CORE Pervas Comp Technol, Madras 600066, Tamil Nadu, India
关键词
Android; GPS; filtering; Google API; spatial coordinates; Healthcare facilities;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Android Smartphones are increasing in day-to-day life with lots of features including GPS, Wi-Fi, camera, 3G etc., which are replacing the bulky desktops. Health care systems are designed to fulfill the health care wants of individuals. Areas like biotechnology, pharmaceutical drugs, information technology, the event of medical devices and equipment and more have all made significant contribution to improving the health of the people all around the world. Database can be created with the parameterized value of location address. In this work, the Information Retrieval R-Tree Algorithm is used for fetching data with spatial, textual filtering and document ranking from bulky database or network is described. The major constraint is that time taken for data handling and network issues are more. In order to overcome the constraint, Information Retrieval R-Tree algorithm is used to show the nearest location of Relevant details with the K-Nearest Neighbor query technique and getting connected with Google API for routing. This technique is implemented using Ahuja-Dijkstra's algorithm with Fibonacci Heap and Priority queue which helps in analyzing the road length and distance to give the shortest route and nearest facilities.
引用
收藏
页码:522 / 526
页数:5
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