Undiscovered side effects of drugs can have a profound effect on the health of the nation, and electronic health-care databases offer opportunities to speed up the discovery of these side effects. We applied a “medication-wide association study” approach that combined multivariate analysis with exploratory visualization to study four health outcomes of interest in an administrative claims database of 46 million patients and a clinical database of 11 million patients. The technique had good predictive value, but there was no threshold high enough to eliminate false-positive findings. The visualization not only highlighted the class effects that strengthened the review of specific products but also underscored the challenges in confounding. T...
Inferring causality using longitudinal observational databases is challenging due to the passive way...
The intent of this dissertation is to make a contribution to the field of pharmacovigilance. Pharmac...
Several studies have demonstrated the ability to detect adverse events potentially related to multip...
Side effects of prescribed medications are a common occurrence. Electronic healthcare databases pres...
AbstractPatients on multiple medications are at increased risk for adverse drug events. While physic...
Side effects of prescribed medications are a common occurrence. Electronic healthcare databases pres...
Recent research has suggested that the case-control study design, unlike the self-controlled study d...
Drug safety continues to be a major public health concern in the United States, with adverse drug re...
AbstractObjectiveTo demonstrate the use of aggregated and de-identified electronic health record (EH...
Recent research has suggested that the case-control study design, unlike the self-controlled study d...
Background and Objective Several studies have demonstrated the ability to detect adverse events pote...
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...
We propose to study a novel pharmacovigilance problem for mining directional effects of high-order d...
BACKGROUND: Drug safety monitoring relies primarily on spontaneous reporting, but electronic heal...
Inferring causality using longitudinal observational databases is challenging due to the passive way...
The intent of this dissertation is to make a contribution to the field of pharmacovigilance. Pharmac...
Several studies have demonstrated the ability to detect adverse events potentially related to multip...
Side effects of prescribed medications are a common occurrence. Electronic healthcare databases pres...
AbstractPatients on multiple medications are at increased risk for adverse drug events. While physic...
Side effects of prescribed medications are a common occurrence. Electronic healthcare databases pres...
Recent research has suggested that the case-control study design, unlike the self-controlled study d...
Drug safety continues to be a major public health concern in the United States, with adverse drug re...
AbstractObjectiveTo demonstrate the use of aggregated and de-identified electronic health record (EH...
Recent research has suggested that the case-control study design, unlike the self-controlled study d...
Background and Objective Several studies have demonstrated the ability to detect adverse events pote...
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...
We propose to study a novel pharmacovigilance problem for mining directional effects of high-order d...
BACKGROUND: Drug safety monitoring relies primarily on spontaneous reporting, but electronic heal...
Inferring causality using longitudinal observational databases is challenging due to the passive way...
The intent of this dissertation is to make a contribution to the field of pharmacovigilance. Pharmac...
Several studies have demonstrated the ability to detect adverse events potentially related to multip...