The role of machine learning in clinical research: transforming the future of evidence generation
Background Interest in the application of machine learning (ML) to the design, conduct, and
analysis of clinical trials has grown, but the evidence base for such applications has not …
analysis of clinical trials has grown, but the evidence base for such applications has not …
Text mining for adverse drug events: the promise, challenges, and state of the art
Text mining is the computational process of extracting meaningful information from large
amounts of unstructured text. It is emerging as a tool to leverage underutilized data sources …
amounts of unstructured text. It is emerging as a tool to leverage underutilized data sources …
A curated and standardized adverse drug event resource to accelerate drug safety research
Identification of adverse drug reactions (ADRs) during the post-marketing phase is one of
the most important goals of drug safety surveillance. Spontaneous reporting systems (SRS) …
the most important goals of drug safety surveillance. Spontaneous reporting systems (SRS) …
[HTML][HTML] Using electronic health records for clinical research: the case of the EHR4CR project
G De Moor, M Sundgren, D Kalra, A Schmidt… - Journal of biomedical …, 2015 - Elsevier
Objectives To describe the IMI EHR4CR project which is designing and develo**, and
aims to demonstrate, a scalable, widely acceptable and efficient approach to interoperability …
aims to demonstrate, a scalable, widely acceptable and efficient approach to interoperability …
Good signal detection practices: evidence from IMI PROTECT
Over a period of 5 years, the Innovative Medicines Initiative PROTECT (
Pharmacoepidemiological Research on Outcomes of Therapeutics by a European …
Pharmacoepidemiological Research on Outcomes of Therapeutics by a European …
Risk of lower extremity amputations in people with type 2 diabetes mellitus treated with sodium‐glucose co‐transporter‐2 inhibitors in the USA: a retrospective cohort …
Aims To examine the incidence of amputation in patients with type 2 diabetes mellitus
(T2DM) treated with sodium glucose co‐transporter 2 (SGLT2) inhibitors overall, and …
(T2DM) treated with sodium glucose co‐transporter 2 (SGLT2) inhibitors overall, and …
Desiderata for computable representations of electronic health records-driven phenotype algorithms
Abstract Background Electronic health records (EHRs) are increasingly used for clinical and
translational research through the creation of phenotype algorithms. Currently, phenotype …
translational research through the creation of phenotype algorithms. Currently, phenotype …
[HTML][HTML] Accuracy of an automated knowledge base for identifying drug adverse reactions
Introduction Drug safety researchers seek to know the degree of certainty with which a
particular drug is associated with an adverse drug reaction. There are different sources of …
particular drug is associated with an adverse drug reaction. There are different sources of …
[HTML][HTML] Incidence of diabetic ketoacidosis among patients with type 2 diabetes mellitus treated with SGLT2 inhibitors and other antihyperglycemic agents
Aims To estimate and compare incidence of diabetes ketoacidosis (DKA) among patients
with type 2 diabetes who are newly treated with SGLT2 inhibitors (SGLT2i) versus non …
with type 2 diabetes who are newly treated with SGLT2 inhibitors (SGLT2i) versus non …
Representing knowledge consistently across health systems
Objectives: Electronic health records (EHRs) have increasingly emerged as a powerful
source of clinical data that can be leveraged for reuse in research and in modular health …
source of clinical data that can be leveraged for reuse in research and in modular health …