default author photo

John Scholefield

University of Nottingham - Faculty of Medicine and Health Sciences

Nottingham, NG7 2RD

United Kingdom

  • University of Nottingham - Faculty of Medicine and Health Sciences

SCHOLARLY PAPERS

5

DOWNLOADS

299

TOTAL CITATIONS

3

Scholarly Papers (5)

Actions:
Email selected abstracts
1.

A Multicentre Randomised Controlled Trial Comparing Safety, Efficacy, and Cost-Effectiveness of the Surgisis® Anal Fistula Plug versus Surgeon's Preference for Transsphincteric Fistula-in-Ano: The FIAT Trial

Number of pages: 31 Posted: 17 Apr 2019
David Jayne, John Scholefield, Damian Tolan, Richard Gray, Asha Senapati, Claire T. Hulme, Andrew Sutton, Kelly Handley, Catherine Hewitt, Manjinder Kaur, Laura Magill and FIAT Trial Collaborative Group
Leeds Teaching Hospitals NHS Trust - The John Goligher Colorectal Surgery Unit, University of Nottingham - Faculty of Medicine and Health Sciences, Government of the United Kingdom - Leeds Teaching Hospitals, University of Oxford, Government of the United Kingdom - Portsmouth Hospitals University NHS Trust, Leeds Institute of Health Sciences - Academic Unit of Health Economics, Institute of Health Economics, University of Birmingham, University of Birmingham, University of Birmingham, University of Birmingham and Independent
Downloads 188 (403,391)

Abstract:

Loading...

2.

Supervised Learning and Anti-Learning of Colorectal Cancer Classes and Survival Rates from Cellular Biology Parameters

Number of pages: 6 Posted: 26 Aug 2016
Chris Roadknight, Uwe Aickelin, Guoping Qiu, John Scholefield and Lindy Durrant
University of Nottingham - School of Computer Science, University of Melbourne - School of Computing and Information Systems, University of Nottingham - School of Computer Science, University of Nottingham - Faculty of Medicine and Health Sciences and University of Nottingham - Faculty of Medicine and Health Sciences
Downloads 40 (1,183,237)
Citation 1

Abstract:

Loading...

Neural Networks, Colorectal Cancer, Anti-learning

3.

Ensemble Learning of Colorectal Cancer Survival Rates

Number of pages: 5 Posted: 25 Aug 2016
Uwe Aickelin, Chris Roadknight, John Scholefield and Lindy Durrant
University of Melbourne - School of Computing and Information Systems, University of Nottingham - School of Computer Science, University of Nottingham - Faculty of Medicine and Health Sciences and University of Nottingham - Faculty of Medicine and Health Sciences
Downloads 29 (1,332,057)

Abstract:

Loading...

ensemble learning, anti-learning, colorectal cancer

4.

Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification

Number of pages: 6 Posted: 28 Aug 2016
Chris Roadknight, Uwe Aickelin, Alexandros Ladas, Daniele Soria, John Scholefield and Lindy Durrant
University of Nottingham - School of Computer Science, University of Melbourne - School of Computing and Information Systems, University of Nottingham - School of Computer Science, University of Nottingham - School of Computer Science, University of Nottingham - Faculty of Medicine and Health Sciences and University of Nottingham - Faculty of Medicine and Health Sciences
Downloads 24 (1,399,036)
Citation 2

Abstract:

Loading...

5.

An Ensemble of Machine Learning and Anti-Learning Methods for Predicting Tumour Patient Survival Rates

Number of pages: 7 Posted: 11 Sep 2016
Chris Roadknight, Durga Suryanarayanan, John Scholefield, Uwe Aickelin and Lindy Durrant
University of Nottingham - School of Computer Science, University of Nottingham Malaysia Campus, University of Nottingham - Faculty of Medicine and Health Sciences, University of Melbourne - School of Computing and Information Systems and University of Nottingham - Faculty of Medicine and Health Sciences
Downloads 18 (1,470,786)

Abstract:

Loading...

Ensemble, Bioinformatics, Machine Learning