Real-time analysis of healthcare using big data analytics

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Antony Basco, J.^1 ; Senthilkumar, N.C.^1

School of Information Technology and Engineering, VIT University, Vellore

Tamil Nadu

632014, India^1

关键词: Big Data Analytics;    Electronic medical record;    Enhanced efficiency;    Hadoop frameworks;    Mobile applications;    Processing technique;    Real time analysis;    Volume velocities;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/4/042056/pdf
DOI  :  10.1088/1757-899X/263/4/042056

来源: IOP

【 摘 要 】

Big Data Analytics (BDA) provides a tremendous advantage where there is a need of revolutionary performance in handling large amount of data that covers 4 characteristics such as Volume Velocity Variety Veracity. BDA has the ability to handle such dynamic data providing functioning effectiveness and exceptionally beneficial output in several day to day applications for various organizations. Healthcare is one of the sectors which generate data constantly covering all four characteristics with outstanding growth. There are several challenges in processing patient records which deals with variety of structured and unstructured format. Inducing BDA in to Healthcare (HBDA) will deal with sensitive patient driven information mostly in unstructured format comprising of prescriptions, reports, data from imaging system, etc., the challenges will be overcome by big data with enhanced efficiency in fetching and storing of data. In this project, dataset alike Electronic Medical Records (EMR) produced from numerous medical devices and mobile applications will be induced into MongoDB using Hadoop framework with Improvised processing technique to improve outcome of processing patient records.