![]() |
CrossRef Text and Data Mining |
Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
Adverse Drug Reaction Analysis Methods and Research Trends by Data Sources for Post-marketing Surveillance |
Hyunah Shin, Seonghyeon Park, Suehyun Lee |
J Health Info Stat. 2022;47(Suppl 3):S41-S50. Published online 2022 November 30 DOI: https://doi.org/10.21032/jhis.2022.47.S3.S41 |
Adverse Drug Reaction Analysis Methods and Research Trends by Data Sources for Post-marketing Surveillance FDA's Adverse Drug Reaction Drug Dictionary and its Role in Post-Marketing Surveillance POST-MARKETING SURVEILLANCE OF ADVERSE DRUG REACTIONS Alert systems for post-marketing surveillance of adverse drug events— Methods and problems Decision support methods for the detection of adverse events in post-marketing data Medical databases in post-marketing drug surveillance Post-marketing drug surveillance and C.I.I.F.T.: Experiences concerning organization and data process Near real-time adverse drug reaction surveillance within population-based health networks: methodology considerations for data accrual Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS): A National Analysis of Data from 10-Year Post-marketing Surveillance Centralized data sources and QSAR methods for the prediction of idiosyncratic adverse drug reaction |
This metadata service is kindly provided by CrossRef from May 29, 2014. J Health Info Stat has participated in CrossRef Text and Data Mining service since March 1, 2016. |