Data Mining Algorithms for Pharmacovigilance
Kamatchi Sankar1, Latha Parthiban2
1Kamatchi Sankar, Research Scholar, Department of Computer Science & Engineering, Bharath Institute of Higher Education and Research, (Tamil Nadu), India.
2Latha Parthiban, Department of Computer Science and Engineering, Pondicherry University Community College, (Puducherry), India.
Manuscript received on 24 November 2019 | Revised Manuscript received on 07 December 2019 | Manuscript Published on 14 December 2019 | PP: 81-85 | Volume-9 Issue-1S October 2019 | Retrieval Number: A10161091S19/19©BEIESP | DOI: 10.35940/ijeat.A1016.1091S19
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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: In this paper, various data mining algorithms for pharmacovigilance is analyzed and a decision support system for hospital is proposed.. Overall analysis of adverse events of a specific drug helps in finding the potential danger of using the specific drug. Decision support system with good classification accuracy to improve its use in hospital for computer aided diagnosis by doctors is also analyzed.
Keywords: Pharmacovigilance, Adverse Event, Classification Accuracy, Computer Aided Diagnosis.
Scope of the Article: Data Mining