TY  - JOUR
T1  - IOT Big Data Piling up System Based Sentimental and Pharmacovigilance Analysis in Cloud for Patients
AU - Madhan, E.S. AU - Ezhumalai, P. AU - Rukmanidevi, S. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 4
SP  - 712
EP  - 718
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.712.718
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.712.718
KW  - Cloud computing
KW  -pharmacovigilance
KW  -IOT
KW  -big data
KW  -sentimental analysis
KW  -map reduce
KW  -adverse drug reaction
AB  - 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.
ER  -