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Open Access

Peer-reviewed

Research Article

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

Stephen F. Weng ,

Contributed equally to this work with: Stephen F. Weng, Jenna Reps

* E-mail: stephen.weng@nottingham.ac.uk

Affiliations NIHR School for Primary Care Research, University of Nottingham, Nottingham, United Kingdom, Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, United Kingdom

http://orcid.org/0000-0002-5281-9590

⨯
Jenna Reps ,

Contributed equally to this work with: Stephen F. Weng, Jenna Reps

Affiliations Advanced Data Analysis Centre, University of Nottingham, Nottingham, United Kingdom, School of Computer Science, University of Nottingham, Nottingham, United Kingdom
⨯
Joe Kai ,

¶‡ These authors also contributed equally to this work.

Affiliations NIHR School for Primary Care Research, University of Nottingham, Nottingham, United Kingdom, Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, United Kingdom
⨯
Jonathan M. Garibaldi ,

¶‡ These authors also contributed equally to this work.

Affiliations Advanced Data Analysis Centre, University of Nottingham, Nottingham, United Kingdom, School of Computer Science, University of Nottingham, Nottingham, United Kingdom
⨯
Nadeem Qureshi

¶‡ These authors also contributed equally to this work.

Affiliations NIHR School for Primary Care Research, University of Nottingham, Nottingham, United Kingdom, Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, United Kingdom
⨯

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

Stephen F. Weng,
Jenna Reps,
Joe Kai,
Jonathan M. Garibaldi,
Nadeem Qureshi

x

Published: April 4, 2017
https://doi.org/10.1371/journal.pone.0174944

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26 Apr 2017
22:07 GMT
Most Recent

Do we need machine-learning for cardiovascular risk prediction in clinical practice? Posted by schampion on 26 Apr 2017 at 22:07 GMT

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Medical risk factors
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Cardiovascular diseases
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