12Effective Methodologies in Pharmacovigilance for Identifying Adverse Drug Reactions Using IoT

Latha Parthiban1*, Maithili Devi Reddy2 and A. Kumaravel3

1Bharath Institute of Higher Education and Research, Tamilnadu, India

2Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Tamilnadu, India

3School of Computing, Bharath Institute of Higher Education and Research, Tamilnadu, India

Abstract

Nowadays, every recommended drug has some side effects based on the health of the patient. This negative impact leads to Adverse Drug Event (ADE) and the time of ADE association to the specified drug is called as Adverse Drug Reaction (ADR). With each and every day, more and more devices are getting connected to internet and IoT is becoming an evolving area. Since ADR results in fatality of humans, the primary analysis of any disease is a most significant process. As a result, the protection of a novel drug has been determined from its entire manufacturing. Unexpectedly, the potential of analyzing a drug’s toxins has been restricted by several medicinal tools. At the time of modeling any kind of drug, it has been sampled on animals in order to test the function of drug applied, but the capability of inferring ADRs is minimized by the impotence of animal sampling which has to be completely understandable for human impacts. While a drug provides primary toxicity investigation, it is applied for testing on humans at the time of increased population. ...

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