Add to ORKGAbstract—Longitudinal observational databases have become a recent interest in the post marketing drug surveillance com-munity due to their ability of presenting a new perspective for detecting negative side effects. Algorithms mining longitudinal observation databases are not restricted by many of the limita-tions associated with the more conventional methods that have been developed for spontaneous reporting system databases. In this paper we investigate the robustness of four recently developed algorithms that mine longitudinal observational databases by applying them to The Health Improvement Network (THIN) for six drugs with well document known negative side effects. Our results show that none of the existing algorithms was able to con...
Big longitudinal observational medical data potentially hold a wealth of information and have been r...
PURPOSE: In post-marketing drug safety surveillance, data mining can potentially detect rare but ser...
A principle concern of pharmacovigilance is the timely detection of adverse drug reactions that are ...
Longitudinal observational databases have become a recent interest in the post marketing drug survei...
Longitudinal observational databases have become a recent interest in the post marketing drug surve...
Inferring causality using longitudinal observational databases is challenging due to the passive way...
The electronic healthcare databases are starting to become more readily available and are thought to...
Inferring causality using longitudinal observational databases is challenging due to the passive way...
licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that th...
Abstract The electronic healthcare databases are start-ing to become more readily available and are ...
The novel contribution of this research is the development of a supervised algorithm that extracts r...
Background: Drug safety monitoring relies primarily on spontaneous reporting, but electronic health ...
There are several different proposed data mining methods for the postmarketing surveillance of drug ...
BACKGROUND: Drug safety monitoring relies primarily on spontaneous reporting, but electronic health ...
BACKGROUND: Drug safety monitoring relies primarily on spontaneous reporting, but electronic health ...
Big longitudinal observational medical data potentially hold a wealth of information and have been r...
PURPOSE: In post-marketing drug safety surveillance, data mining can potentially detect rare but ser...
A principle concern of pharmacovigilance is the timely detection of adverse drug reactions that are ...
Longitudinal observational databases have become a recent interest in the post marketing drug survei...
Longitudinal observational databases have become a recent interest in the post marketing drug surve...
Inferring causality using longitudinal observational databases is challenging due to the passive way...
The electronic healthcare databases are starting to become more readily available and are thought to...
Inferring causality using longitudinal observational databases is challenging due to the passive way...
licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that th...
Abstract The electronic healthcare databases are start-ing to become more readily available and are ...
The novel contribution of this research is the development of a supervised algorithm that extracts r...
Background: Drug safety monitoring relies primarily on spontaneous reporting, but electronic health ...
There are several different proposed data mining methods for the postmarketing surveillance of drug ...
BACKGROUND: Drug safety monitoring relies primarily on spontaneous reporting, but electronic health ...
BACKGROUND: Drug safety monitoring relies primarily on spontaneous reporting, but electronic health ...
Big longitudinal observational medical data potentially hold a wealth of information and have been r...
PURPOSE: In post-marketing drug safety surveillance, data mining can potentially detect rare but ser...
A principle concern of pharmacovigilance is the timely detection of adverse drug reactions that are ...