Machine learning and semantic information for unstructured healthcare data: Comparison of methods through the automatic analysis of adverse drug reaction reports. MAI TAI study

被引：0

作者：

Letinier, L. ^{[1
]}

Jouganous, J. ^{[2
]}

Miremont, G. ^{[1
]}

Bel-Letoile, A. ^{[2
]}

Salvo, F. ^{[1
]}

Rouby, F. ^{[3
]}

Micallef, J. ^{[3
]}

Benkebil, M. ^{[4
]}

Pariente, A. ^{[1
]}

机构：

[1] CHU Bordeaux, Bordeaux Populat Hlth Res Ctr, Ctr Reg Pharmacovigilance,Serv Pharmacol Med,UMR, Inserm,Bordeaux Populat Hlth Res Ctr,Team Pharmac, Bordeaux, France

[2] Synapse Med, Bordeaux, France

[3] Assistance Publ Hop Marseille, CRPV Marseille Provence Corse, Serv Hosp Univ Pharmacol Clin & Pharmacovigilance, Marseille, France

[4] Agence Natl Secur Medicament & Prod Sante ANSM, Surveillance Div, St Denis, France

来源：

FUNDAMENTAL & CLINICAL PHARMACOLOGY | 2021年 / 35卷

关键词：

pharmacovigilance; adverse drug reaction report; artificial intelligence; machine learning;

D O I：

暂无

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

CO-011

引用

页码：20 / 20

页数：1