Investigation of Disease from Multiple Health Care Data by Using HL7 Message on HDFS
 
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Publication date: 2019-11-25
 
Eurasian J Anal Chem 2018;13(3):em2018182
 
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ABSTRACT
To furnish a detailed analysis on the healthcare data in HL7(Health Level 7) by utilizing Big data analytics and to create disease prediction system as the healthcare sector is considered as one of the important industries in information technology. In the past few years, healthcare data has become more complex with huge amount of data related to ever growing and changing technologies, mobile applications and discovery of new diseases. The belief of healthcare sectors is that healthcare data analytics tools are important to manage a large amount of complex data, to improve healthcare industries, efficiency and accuracy in medical practice. Information technology is a boon for the healthcare sectors to upgrade their efficiency in healthcare performance availing the provided data and information. The concept of big data though not new is constantly changing with attempts of defining big data and inventing newer hardware and software mechanisms to store, analyze and visualize the data in keeping with the requirements of collection of data elements as per the requisite size, speed and type. Velocity, variety and volume are the three innate aspects of the data produced. Furthermore, each of these data repositories is isolated and inherently incapable of providing a platform for global data transparency.
eISSN:1306-3057