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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Detection of Adverse Drug Reactions Due to Anti-Depressants Using BioBERT
Authors Name: V.B Samhitha , Ms.S. Sarjun Beevi , Dr.V.Balambica
Unique Id: IJSDR2305003
Published In: Volume 8 Issue 5, May-2023
Abstract: An Adverse Drug Reaction is the negative effect experienced by the patient when administered multiple medications. According to research, antidepressants and antipsychotics cause the majority of ADRs in the psychiatry department but unfortunately, it is widely overlooked when compared to other divisions. Although a drug is run through multiple clinical trials before its release in the market, there is always potential for it to cause custom harm in real-life practice. Therefore, post-market safety monitoring of medicines through pharmacovigilance is essential. One needs to track all research papers and health records to identify and prevent potential adverse events related to drugs. However, the avalanche of data available in research archives spotlights the challenge of finding relevant information for pharmacovigilance. NER-BioBERT (Bidirectional Encoder Representation from Transformers) highlights ways to lower the barrier by automating literature from research repositories to support pharmacovigilance activities, which can further be used as input for our objective of ADE identification in antidepressants.
Keywords: NER, NER-BioBERT, ADR, Natural Language Processing
Cite Article: "Detection of Adverse Drug Reactions Due to Anti-Depressants Using BioBERT", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.33 - 37, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305003.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2305003
Registration ID:205903
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 33 - 37
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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