Effective ways of finding Adverse Drug Reactions in Pharmacovigilance
Kamatchi Sankar1, Latha Parthiban2
1Kamatchi Sankar, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, (Tamil Nadu), India.
2Latha Parthiban, Department of Computer Science, Pondicherry University CC, Puducherry (Tamil Nadu), India.
Manuscript received on 03 July 2019 | Revised Manuscript received on 13 August 2019 | Manuscript Published on 27 August 2019 | PP: 284-287 | Volume-8 Issue-2S4 July 2019 | Retrieval Number: B10530782S419/2019©BEIESP | DOI: 10.35940/ijrte.B1053.0782S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With many adverse effects happening on population due to medic al drugs, there is driving need to find these effects and reduce it. Hence researchers are working on FDA_AERS, a real time database to find the adverse effect present in drugs. This field has developed as pharmacovigilance and data mining algorithm helps in improving the accuracy of clinical analysis. In this paper, growth of Pharmacovigilance in India and a novel way to find adverse drug reaction is proposed.
Keywords: Pharmacovigilance, Data Mining, Adverse Events.
Scope of the Article: Data Mining