Systematic review of AI-based models in pharmacoepidemiology for adverse drug event prediction and detection.
Saved in:
| Title: | Systematic review of AI-based models in pharmacoepidemiology for adverse drug event prediction and detection. |
|---|---|
| Authors: | Karampatea A; Laboratory of Hygiene and Environmental Protection, Medicine Department, Democritus University of Thrace, Alexandroupolis, Greece., Kassandros K; Laboratory of Hygiene and Environmental Protection, Medicine Department, Democritus University of Thrace, Alexandroupolis, Greece., Constantinides T; Laboratory of Hygiene and Environmental Protection, Medicine Department, Democritus University of Thrace, Alexandroupolis, Greece., Kontogiorgis C; Laboratory of Hygiene and Environmental Protection, Medicine Department, Democritus University of Thrace, Alexandroupolis, Greece. |
| Source: | Frontiers in drug safety and regulation [Front Drug Saf Regul] 2026 Mar 17; Vol. 6, pp. 1773186. Date of Electronic Publication: 2026 Mar 17 (Print Publication: 2026). |
| Publication Type: | Journal Article; Systematic Review |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 9919033103806676 Publication Model: eCollection Cited Medium: Internet ISSN: 2674-0869 (Electronic) Linking ISSN: 26740869 NLM ISO Abbreviation: Front Drug Saf Regul Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2674-0869 |
|---|---|
| DOI: | 10.3389/fdsfr.2026.1773186 |