Peter Bjødstrup Jensen

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A key prerequisite for precision medicine is the estimation of disease progression from the current patient state. Disease correlations and temporal disease progression (trajectories) have mainly been analysed with focus on a small number of diseases or using large-scale approaches without time consideration, exceeding a few years. So far, no large-scale(More)
OBJECTIVE Drugs have tremendous potential to cure and relieve disease, but the risk of unintended effects is always present. Healthcare providers increasingly record data in electronic patient records (EPRs), in which we aim to identify possible adverse events (AEs) and, specifically, possible adverse drug events (ADEs). MATERIALS AND METHODS Based on the(More)
The Danish National Diabetes Register (NDR) was established in 2006 and builds on data from Danish health registers. We validated the content of NDR, using full information from the Danish National Patient Register and data from the literature. Our study indicates that the completeness in NDR is ≥95% concerning ascertainment from data sources specific for(More)
OBJECTIVE Through manual review of clinical notes for patients with type 2 diabetes mellitus attending a Danish diabetes center, the aim of the study was to identify adverse drug reactions (ADRs) associated with three classes of glucose-lowering medicines: "Combinations of oral blood-glucose lowering medicines" (A10BD), "dipeptidyl peptidase-4 (DDP-4)(More)
incidence, morbidity, mortality, and prevalence of diabetes in Denmark, 2000–2011: results from the Diabetes impact study 2013 anders green1–3 Camilla sortsø Purpose: As part of the Danish Diabetes Impact Study 2013, we present trends in the incidence , morbidity, mortality, and prevalence of diabetes in Denmark for the period 2000 through 2011. Patients(More)
Electronic patient records are a potentially rich data source for knowledge extraction in bio-medical research. Here we present a method based on the ICD10 system for text-mining of Danish health records. We have evaluated how adding functionalities to a baseline text-mining tool affected the overall performance. The purpose of the tool was to create(More)
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