Recommending alternative drugs by using generic drug names to minimise side effects

Sohee Hwang, Jungrim Kim, Jeongwoo Kim, Sanghyun Park

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Healthcare and the treatment of illnesses are one of the most fundamental aspects of modern human life, and drugs are the easiest approach to healthcare. However, consuming drugs lead to diverse effects. We propose the use generic medicine names and it is important to note that while drugs with the same generic name serve similar purposes, they may also cause different side effects. This paper presents a strategy to address the issue of side effects by recommending alternative drugs that have the same therapeutic effect but with less detrimental effects. By integrating the generic names of drugs and data from social networks, more data can be obtained to arrive at meaningful conclusions. This paper proposes a new approach for analysing drug-induced side effects, with collecting, processing, and using data from social networks.

Original languageEnglish
Pages (from-to)301-314
Number of pages14
JournalInternational Journal of Data Mining and Bioinformatics
Volume18
Issue number4
DOIs
Publication statusPublished - 2017 Jan 1

Fingerprint

Generic Drugs
Medicine
Names
drug
Processing
Social Support
Pharmaceutical Preparations
Delivery of Health Care
social network
Therapeutic Uses
Drug-Related Side Effects and Adverse Reactions
illness
medicine
cause

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Biochemistry, Genetics and Molecular Biology(all)
  • Library and Information Sciences

Cite this

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Recommending alternative drugs by using generic drug names to minimise side effects. / Hwang, Sohee; Kim, Jungrim; Kim, Jeongwoo; Park, Sanghyun.

In: International Journal of Data Mining and Bioinformatics, Vol. 18, No. 4, 01.01.2017, p. 301-314.

Research output: Contribution to journalArticle

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