TravelBot: Journey Disruption Alerts Utilising Social Media and Linked Data

Postprint

Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? : A comparison study with laboratory data

© The Author(s) 2014. Acknowledgements We thank the Information Services Division, Scotland, who provided the SMR01 data, and NHS Grampian, who provided the biochemistry data. We also thank the University of Aberdeen’s Data Management Team. Funding This work was supported by the Chief Scientists Office for Scotland (grant no. CZH/4/656).

Pharmacovigilance in children : detecting adverse drug reactions in routine electronic healthcare records. A systematic review

This article is protected by copyright. All rights reserved.

Pharmacovigilance in children : detecting adverse drug reactions in routine electronic healthcare records. A systematic review

This article is protected by copyright. All rights reserved.

Social media data in research : provenance challenges?

Postprint

Modelling Provenance of Sensor Data for Food Safety Compliance Checking

Postprint

Assessing the Quality of Semantic Sensor Data

Acknowledgements The research described here is supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1

Models and empirical data for the production of referring expressions

Article Accepted Date: 29 May 2014 Acknowledgements The authors gratefully acknowledge the support of the Cognitive Science Society for the organisation of the Workshop on Production of Referring Expressions: Bridging the Gap between Cognitive and Computational Approaches to Reference, from which this special issue originated. Funding Emiel Krahmer and Albert Gatt thank The Netherlands Organisation for Scientific Research (NWO) for VICI grant Bridging the Gap between Computational Linguistics and Psycholinguistics: The Case of Referring Expressions (grant number 277-70-007).

Pharmacovigilance in children : detecting adverse drug reactions in routine electronic healthcare records. A systematic review

This article is protected by copyright. All rights reserved.