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Using Machine Learn...
Using Machine Learning for Pharmacovigilance: A Systematic Review
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- Pilipiec, Patrick (author)
- Luleå tekniska universitet,Institutionen för system- och rymdteknik,School of Business and Economics, Maastricht University, Tongersestraat 53, 6211 LM Maastricht, The Netherlands
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- Liwicki, Marcus (author)
- Luleå tekniska universitet,EISLAB
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- Bota, András (author)
- Luleå tekniska universitet,EISLAB
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(creator_code:org_t)
- 2022-01-23
- 2022
- English.
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In: Pharmaceutics. - : MDPI. - 1999-4923 .- 1999-4923. ; 14:2
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Abstract
Subject headings
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- Pharmacovigilance is a science that involves the ongoing monitoring of adverse drug reactions to existing medicines. Traditional approaches in this field can be expensive and time-consuming. The application of natural language processing (NLP) to analyze user-generated content is hypothesized as an effective supplemental source of evidence. In this systematic review, a broad and multi-disciplinary literature search was conducted involving four databases. A total of 5318 publications were initially found. Studies were considered relevant if they reported on the application of NLP to understand user-generated text for pharmacovigilance. A total of 16 relevant publications were included in this systematic review. All studies were evaluated to have medium reliability and validity. For all types of drugs, 14 publications reported positive findings with respect to the identification of adverse drug reactions, providing consistent evidence that natural language processing can be used effectively and accurately on user-generated textual content that was published to the Internet to identify adverse drug reactions for the purpose of pharmacovigilance. The evidence presented in this review suggest that the analysis of textual data has the potential to complement the traditional system of pharmacovigilance.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Farmaceutiska vetenskaper (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Pharmaceutical Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- pharmacovigilance
- adverse drug reactions
- ADRs
- computational linguistics
- machine learning
- public health
- user-generated content
- Maskininlärning
- Machine Learning
Publication and Content Type
- ref (subject category)
- for (subject category)
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