Asian Journal of Information Technology

Year: 2016
Volume: 15
Issue: 4
Page No. 712 - 718

IOT Big Data Piling up System Based Sentimental and Pharmacovigilance Analysis in Cloud for Patients

Authors : E.S. Madhan, P. Ezhumalai and S. Rukmanidevi

Abstract: Cloud computing forms the future base of computing platform service due to the growth in cloud server. Cloud techniques apply in health care industry for more information and quick decision. The cloud algorithm in health care industry helps the physician, only for telemedicine application such as medical images, patient history retrieval. In this study, we propose a novel method in pharma health care to evaluate the adverse effect of drugs in cloud and IOT environment. Cloud sever store the data of physician prescription of the entire inpatients and outpatients in daily routine. The IOT environment provides access to cloud store data of prescriptions to the physician, nurse, pharmacologist and patients. However, the cloud data piling up system executes with big data algorithms. In big data Map Reduce algorithm applies for Pharmacovigilance (PHV) analysis. From the result of 100 prescriptions from inpatients and outpatients, the safety of clinical practice of PHV improves of about 80% for drug regulations. The piling system paves the way for primary data instead of secondary data collection for analysis.

How to cite this article:

E.S. Madhan, P. Ezhumalai and S. Rukmanidevi, 2016. IOT Big Data Piling up System Based Sentimental and Pharmacovigilance Analysis in Cloud for Patients. Asian Journal of Information Technology, 15: 712-718.

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