Identifying plausible adverse drug reactions using knowledge extracted from the literature-Reference-Cited by-同舟云学术

Identifying plausible adverse drug reactions using knowledge extracted from the literature

Published:2014-12 Issue: Volume:52 Page:293-310
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Shang Ning,Xu Hua,Rindflesch Thomas C.,Cohen Trevor

Funder

U.S. National Library of Medicine

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference157 articles.

1. Adverse drug reactions: definitions, diagnosis, and management;Edwards;Lancet,2000

2. Incidence of adverse drug reactions in hospitalized patients;Lazarou;JAMA: J Amer Med Assoc,1998

3. Frequency of hospitalization after exposure to known drug–drug interactions in a medicaid population;Hamilton;Pharmacother: J Human Pharmacol Drug Ther,1998

4. The Canadian adverse events study: the incidence of adverse events among hospital patients in Canada;Baker;Can Med Assoc J,2004

5. Pediatric adverse drug events in the outpatient setting: an 11-year national analysis;Bourgeois;Pediatrics,2009

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring the impact of co-exposure timing on drug-drug interactions in signal detection through spontaneous reporting system databases: a scoping review;Expert Review of Clinical Pharmacology;2024-04-18

2. An Experimental Outlook on Quality Metrics for Process Modelling: A Systematic Review and Meta Analysis;Algorithms;2023-06-10

3. Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: A use case studying depression as a risk factor for Alzheimer’s disease;Journal of Biomedical Informatics;2023-06

4. Artificial Intelligence in Pharmaceutical Sciences;Engineering;2023-04

5. Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: a use case studying depression as a risk factor for Alzheimer's disease;2022-07-20