Research Paper | Computer Science & Engineering | India | Volume 8 Issue 3, March 2019
Hospital Selection Support System from Heterogeneous Data Source
Madhumathi B, Madhumitha V, Mahin Faliha S, Maithili ParkaviI
Abstract: Medical institutions keep accumulating medical data, which is highly complex. Government agencies have been working hard to utilize such complex and diverse types of medical data to diagnose patients diseases correctly and offer them the right treatment. Medical data comes from different sources, and most of it is unstructured. Big data computing is a new trend for future computing with a large-scale data set and can be divided into two paradigms: Batch-oriented computing and Real-time oriented computing (or stream computing). Batch computing is in general efficient in processing high volume data. The data are collected, stored, and processed in batches to produce the results. Big data analytics is often complex process of examining large and varied data sets to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make informed business decisions. Apache Hadoop is an example of batch-oriented computing. In this paper we are introducing a system which analyses the huge amount of clinical data using Hadoop and Hive to find the number of hospitals in an area, the best hospital in a particular area, the best hospital for a particular disease/problem etc. The analysis is done based on the users i. e. the patients point of view. The resultant data is presented to the users through a web application which helps the users in deciding a hospital based on their disease and geographical location and fixing appointment with the particular hospital/doctor through the web application online.
Keywords: Big data analytics, Hadoop, Hive, Web application
Edition: Volume 8 Issue 3, March 2019,
Pages: 916 - 919
How to Cite this Article?
Madhumathi B, Madhumitha V, Mahin Faliha S, Maithili ParkaviI, "Hospital Selection Support System from Heterogeneous Data Source", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=ART20196226, Volume 8 Issue 3, March 2019, 916 - 919
How to Share this Article?
Similar Articles with Keyword 'Big data analytics'
A Survey on Scalable Big Data Analytics Platform
Ravindra Phule, Madhav Ingle
Backup Anomaly Identification with R and Hadoop
Ravindra Phule, Madhav Ingle
Similar Articles with Keyword 'Hadoop'
Profit Contribution of Bank Customer from Different Business Liabilities
Vinod Desai, Shalini B Ullagaddi, Vittal A Odeyar
Secured Load Rebalancing for Distributed Files System in Cloud
Jayesh D. Kamble, Y. B. Gurav
Similar Articles with Keyword 'Hive'
Survey on Cancer Detection using Content Based Image Retrieval Technique
Aparna W. Bondade, Priti Saktel
A Review on Content-Based Image Retrieval from Videos using Self Learning Object Dictionary
Vrushali A. Wankhede, Prakash S. Mohod
Similar Articles with Keyword 'Web application'
Calibration Software: Performance Analysis
Prasad Rajendra Kumbhar, Anil R. Surve, Shailender Shekhawat
A Region Boundaries Algorithm for Ear Authentication Based on Plots
G. Harsha Vardhan, K. Jeeva
Similar Articles with Keyword 'Big'
Big Data Getting Bigger: Catering Challenges
Survey Paper on Users Location Hiding In Geosocial Recommendation Applications
Mayura Phadnis, Kanchan Varpe
Similar Articles with Keyword 'data'
Heart Disease Prediction with Machine Learning Approaches
A Study and Comparative Analysis of Cryptographic Algorithms for Various File Formats
M. Meena, A. Komathi
Similar Articles with Keyword 'analytics'
A Comprehensive Study of Elasticsearch
Nikita Kathare, O. Vinati Reddy, Dr. Vishalakshi Prabhu
A Survey on Types of Crawlers and Web Searching Algorithms
T. Yogameera, Dr. D. Shanthi