Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis

Shang Ming Zhou; Fabiola Fernandez-Gutierrez; Jonathan Kennedy; Roxanne Cooksey; Mark Atkinson; Spiros Denaxas; Stefan Siebert; William G. Dixon; TW O’Neill; Ernest Choy; Cathie Sudlow; Sinead Brophy

doi:10.1371/journal.pone.0154515

Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis

Shang Ming Zhou
, Fabiola Fernandez-Gutierrez
, Jonathan Kennedy
, Roxanne Cooksey
, Mark Atkinson
, Spiros Denaxas
, Stefan Siebert
, William G. Dixon
, TW O’Neill
, Ernest Choy
, Cathie Sudlow
, Sinead Brophy

School of Nursing and Midwifery

Swansea University
University College London
University of Glasgow
University of Manchester
Cardiff University
University of Edinburgh

Research output: Contribution to journal › Article › peer-review

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Original language	English
Pages (from-to)	e0154515-e0154515
Number of pages	0
Journal	PLoS ONE
Volume	11
Issue number	5
DOIs	https://doi.org/10.1371/journal.pone.0154515
Publication status	E-pub ahead of print - 2 May 2016

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10.1371/journal.pone.0154515

Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach A Case Study in IdentifLicence: CC BY-NC

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Zhou, S. M., Fernandez-Gutierrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Denaxas, S., Siebert, S., Dixon, W. G., O’Neill, TW., 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), e0154515-e0154515. Advance online publication. https://doi.org/10.1371/journal.pone.0154515

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title = "Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis",

author = "Zhou, \{Shang Ming\} and Fabiola Fernandez-Gutierrez and Jonathan Kennedy and Roxanne Cooksey and Mark Atkinson and Spiros Denaxas and Stefan Siebert and Dixon, \{William G.\} and TW O{\textquoteright}Neill and Ernest Choy and Cathie Sudlow and Sinead Brophy",

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Zhou, SM, Fernandez-Gutierrez, F, Kennedy, J, Cooksey, R, Atkinson, M, Denaxas, S, Siebert, S, Dixon, WG, O’Neill, TW, 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, vol. 11, no. 5, pp. e0154515-e0154515. https://doi.org/10.1371/journal.pone.0154515

TY - JOUR

T1 - Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis

AU - Zhou, Shang Ming

AU - Fernandez-Gutierrez, Fabiola

AU - Kennedy, Jonathan

AU - Cooksey, Roxanne

AU - Atkinson, Mark

AU - Denaxas, Spiros

AU - Siebert, Stefan

AU - Dixon, William G.

AU - O’Neill, TW

AU - Choy, Ernest

AU - Sudlow, Cathie

AU - Brophy, Sinead

PY - 2016/5/2

Y1 - 2016/5/2

UR - https://pearl.plymouth.ac.uk/nm-research/493/

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VL - 11

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JO - PLoS ONE

JF - PLoS ONE

IS - 5

ER -

Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis

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