Dataset belonging to: Prediction of clinically relevant adverse drug events in surgical patients

Contains the data used for the study titled: Prediction of clinically relevant adverse drug events in surgical patients.

This dataset consists of data extracted from the P-REVIEW dataset. Data were collected for each admission, including patient characteristics, drug history, and biochemical, haematological, and microbiological markers. Using this dataset we aimed to develop a prediction model that helps to identify patients on the day of hospital admission who are at increased risk of developing a clinically relevant, preventable adverse drug event during their stay on a surgical ward.

The language of the dataset and codebook is Dutch.

Identifier
DOI https://doi.org/10.17026/dans-xq9-ny2h
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-di-qswe
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:109793
Provenance
Creator Bos, J.M.; Kalkman, G.A.; Groenewoud, H.; van den Bemt, P.M.; Smet, P.A.G.M. de; Nagtegaal, J.E.; Wieringa, A.; van der Wilt, G.J.; Kramers, C.
Publisher Data Archiving and Networked Services (DANS)
Contributor Radboud University
Publication Year 2018
Rights info:eu-repo/semantics/restrictedAccess; DANS License; https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
OpenAccess false
Representation
Resource Type Dataset
Format pdf; sav
Discipline Life Sciences; Medicine
Spatial Coverage Netherlands