ORCID
- Zhou, Shang-Ming: 0000-0002-0719-9353
DOI
10.1371/jourl.pone.0154515
Publication Date
2016-05-02
Publication Title
PLoS ONE
Volume
11
Issue
5
First Page
e0154515
Last Page
e0154515
ISSN
1932-6203
Organisational Unit
School of Nursing and Midwifery
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Zhou, S. M., Fernandez-Gutierrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Denaxas, S., Siebert, S., Dixon, W., O’Neill, T., Choy, E., Sudlow, C., & Brophy, S. (2016) 'Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis', PLoS ONE, 11(5), pp. e0154515-e0154515. Available at: https://doi.org/10.1371/jourl.pone.0154515
