An improved machine learning pipeline for urinary volatiles disease detection: Diagnosing diabetes

Andrea S. Martinez-Vernon; James A. Covington; Ramesh P. Arasaradnam; Siavash Esfahani; Nicola O’Connell; Ioannis Kyrou; Richard S. Savage

doi:10.1371/journal.pone.0204425

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Open Access

Peer-reviewed

Research Article

An improved machine learning pipeline for urinary volatiles disease detection: Diagnosing diabetes

Andrea S. Martinez-Vernon,

Roles Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft

Current address: Synthetic Biology Centre for Doctoral Training, University of Warwick, Coventry, United Kingdom

Affiliation Systems Biology Centre, University of Warwick, Coventry, United Kingdom

http://orcid.org/0000-0001-9432-6447

⨯
James A. Covington,

Roles Conceptualization, Supervision, Writing – review & editing

Affiliation School of Engineering, University of Warwick, Coventry, United Kingdom
⨯
Ramesh P. Arasaradnam,

Roles Investigation, Supervision, Writing – review & editing

Affiliations Department of Gastroenterology, University Hospital Coventry and Warwickshire, Coventry, United Kingdom, School of Applied Biological Sciences, University of Coventry, Coventry, United Kingdom, Clinical Sciences Research Institute, University of Warwick, Coventry, United Kingdom
⨯
Siavash Esfahani,

Roles Investigation, Writing – review & editing

Affiliation School of Engineering, University of Warwick, Coventry, United Kingdom

http://orcid.org/0000-0003-3939-2286

⨯
Nicola O’Connell,

Roles Resources, Writing – review & editing

Affiliation Department of Gastroenterology, University Hospital Coventry and Warwickshire, Coventry, United Kingdom
⨯
Ioannis Kyrou,

Roles Resources, Writing – review & editing

Affiliations Warwick Medical School, University of Warwick, Coventry, United Kingdom, Aston Medical Research Institute, Aston Medical School, Aston University, Birmingham, United Kingdom, Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
⨯
Richard S. Savage

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

* E-mail: r.s.savage@warwick.ac.uk

Affiliations Clinical Sciences Research Institute, University of Warwick, Coventry, United Kingdom, Department of Statistics, University of Warwick, Coventry, United Kingdom
⨯

An improved machine learning pipeline for urinary volatiles disease detection: Diagnosing diabetes

Andrea S. Martinez-Vernon,
James A. Covington,
Ramesh P. Arasaradnam,
Siavash Esfahani,
Nicola O’Connell,
Ioannis Kyrou,
Richard S. Savage

Published: September 27, 2018
https://doi.org/10.1371/journal.pone.0204425

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