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Analyzing adverse drug reaction using statistical and machine learning methods

Published:2022-06-24 Issue:25 Volume:101 Page:e29387
ISSN:0025-7974
Container-title:Medicine
language:en
Short-container-title:

Author:

Kim Hae Reong,Sung MinDong,Park Ji Ae,Jeong Kyeongseob,Kim Ho Heon,Lee Suehyun,Park Yu Rang

Funder

the Korea Institute of Drug Safety and Risk Management in 2015

the ministry of science and ict

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

Reference92 articles.

1. Machine learning on adverse drug reactions for pharmacovigilance;Lee;Drug Discov Today,2019

2. Data-driven approach to detect and predict adverse drug reactions;Ho;Curr Pharm Des,2016

3. Post marketing surveillance of suspected adverse drug reactions through spontaneous reporting: current status, challenges and the future;Alomar;Ther Adv Drug Saf,2020

4. Signal detection in pharmacovigilance: a review of informatics-driven approaches for the discovery of drug-drug interaction signals in different data sources;Ibrahim;Artificial Intelligence in the Life Sciences,2021

5. Pharmacoepidemiology and its input to pharmacovigilance;Faillie;Therapies,2016

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