Nadia Smith, Valerie Livina, Rachel Byford, Filipa Ferreira, Ivelina Yonova, Simon de Lusignan. Automated Differentiation of Incident and Prevalent Cases in Primary Care Computerised Medical Records (CMR). In Adrien Ugon, Daniel Karlsson, Gunnar O. Klein, Anne Moen, editors, Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth - Proceedings of MIE 2018, Medical Informatics Europe, Gothenburg, Sweden, April 24-26, 2018. Volume 247 of Studies in Health Technology and Informatics, pages 151-155, IOS Press, 2018. [doi]
@inproceedings{SmithLBFYL18,
title = {Automated Differentiation of Incident and Prevalent Cases in Primary Care Computerised Medical Records (CMR)},
author = {Nadia Smith and Valerie Livina and Rachel Byford and Filipa Ferreira and Ivelina Yonova and Simon de Lusignan},
year = {2018},
doi = {10.3233/978-1-61499-852-5-151},
url = {https://doi.org/10.3233/978-1-61499-852-5-151},
researchr = {https://researchr.org/publication/SmithLBFYL18},
cites = {0},
citedby = {0},
pages = {151-155},
booktitle = {Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth - Proceedings of MIE 2018, Medical Informatics Europe, Gothenburg, Sweden, April 24-26, 2018},
editor = {Adrien Ugon and Daniel Karlsson and Gunnar O. Klein and Anne Moen},
volume = {247},
series = {Studies in Health Technology and Informatics},
publisher = {IOS Press},
isbn = {978-1-61499-852-5},
}