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Cited by in F6Publishing
For: Choi YH, Han CY, Kim KS, Kim SG. Future Directions of Pharmacovigilance Studies Using Electronic Medical Recording and Human Genetic Databases. Toxicol Res 2019;35:319-30. [PMID: 31636843 DOI: 10.5487/TR.2019.35.4.319] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Kim SH. Active Pharmacovigilance of Drug-Induced Liver Injury Using Electronic Health Records. Allergy Asthma Immunol Res 2020;12:378-80. [PMID: 32141253 DOI: 10.4168/aair.2020.12.3.378] [Reference Citation Analysis]
2 Hauser AS, Kooistra AJ, Sverrisdóttir E, Sessa M. Utilizing drug-target-event relationships to unveil safety patterns in pharmacovigilance. Expert Opin Drug Saf 2020;19:961-8. [PMID: 32510245 DOI: 10.1080/14740338.2020.1780208] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
3 Kang DS, Kim HS, Jung JH, Lee CM, Ahn YS, Seo YR. Formaldehyde exposure and leukemia risk: a comprehensive review and network-based toxicogenomic approach. Genes Environ 2021;43:13. [PMID: 33845901 DOI: 10.1186/s41021-021-00183-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Shin H, Cha J, Lee C, Song H, Jeong H, Kim J, Lee S. The 2011–2020 Trends of Data-Driven Approaches in Medical Informatics for Active Pharmacovigilance. Applied Sciences 2021;11:2249. [DOI: 10.3390/app11052249] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Liang L, Hu J, Sun G, Hong N, Wu G, He Y, Li Y, Hao T, Liu L, Gong M. Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources. Drug Saf 2022;45:511-9. [PMID: 35579814 DOI: 10.1007/s40264-022-01170-7] [Reference Citation Analysis]