Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources

Simon Kocbek; Lawrence Cavedon; David Martinez; Christopher Bain; Chris Mac Manus; Gholamreza Haffari; Ingrid Zukerman; Karin Verspoor

Journal article

Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources

Simon Kocbek, Lawrence Cavedon, David Martinez, Christopher Bain, Chris Mac Manus, Gholamreza Haffari, Ingrid Zukerman, Karin Verspoor

Journal of Biomedical Informatics | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2016

DOI: 10.1016/j.jbi.2016.10.008

University of Melbourne Researchers

Karin Verspoor Author Computing and Information Systems

David Martinez Author Computing and Information Systems

Grants

Funding Acknowledgements

Data for this study was provided under Ethics Approval Project 363/13 from the Alfred Health Human Research Ethics Committee. This work was supported by the Victorian Department of Health and Human Services, Melbourne, Australia and the Google Faculty Research Award. The authors wish to thank the staff of the Applications and Knowledge Management Department at Alfred Health, Melbourne, Australia.