Richard S. Savage

Engineering · Physical Sciences

40h-index9.2kcitations99works0.02yr avg
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Research Topics

Advanced Chemical Sensor Technologies(21), Galaxies: Formation, Evolution, Phenomena(19), Gene expression and cancer classification(16), Astronomy and Astrophysical Research(16), Radio Astronomy Observations and Technology(13)

Publications98 total

Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study
BMJ Open·2022· 10 citedOpen Access
Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care
2020Open Access
Heterogeneous Large Datasets Integration Using Bayesian Factor Regression
Bayesian Analysis·2020· 7 citedOpen Access
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
The Lancet Digital Health·2020· 385 citedOpen Access
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
The Lancet Digital Health·2020· 323 citedOpen Access
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Nature Medicine·2020· 524 citedOpen Access
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
Nature Medicine·2020· 875 citedOpen Access
Urinary volatile organic compounds and faecal microbiome profiles in colorectal cancer
Colorectal Disease·2019· 38 cited
Non-linear Multitask Learning with Deep Gaussian Processes
arXiv (Cornell University)·2019· 13 citedOpen Access
Multi-task Learning in Deep Gaussian Processes with Multi-kernel Layers.
arXiv (Cornell University)·2019· 3 citedOpen Access
Ninety day mortality following pancreatoduodenectomy in England
HPB·2019
Ninety day mortality following pancreatoduodenectomy in England
HPB·2019Open Access
A Bayesian Nonparametric Model for Integrative Clustering of Omics Data
Springer proceedings in mathematics & statistics·2019
Heterogeneous large datasets integration using Bayesian factor\n regression
arXiv (Cornell University)·2018· 2 citedOpen Access
An improved machine learning pipeline for urinary volatiles disease detection: Diagnosing diabetes
PLoS ONE·2018· 35 citedOpen Access
Risk stratification of symptomatic patients suspected of colorectal cancer using faecal and urinary markers
Colorectal Disease·2018· 77 citedOpen Access
An Improved Machine Learning Pipeline For Urinary Volatiles Disease Detection: Diagnosing Diabetes
Zenodo (CERN European Organization for Nuclear Research)·2018· 2 citedOpen Access
Ninety day mortality following pancreatoduodenectomy in England: has the optimum centre volume been identified?
HPB·2018· 26 citedOpen Access
PTU-071 Risk stratification of symptomatic patients using faecal biomarkers and urinary volatile organic compounds
2018Open Access
PTU-045 Urinary VOC and faecal microbiome characterisation of colorectal cancer patients, their first-degree relatives and spouses
2018
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Frequent Co-authors

James A. Covington(11), C. L. Dickinson(10), Pedro Carreira(10), Kieran Cleary(10), C. M. Gutiérrez(10), R. Kneißl(10), A. Lasenby(10), Klaus Maisinger(10), R. Rébolo(10), J. A. Rubiño-Martín(10), Richard D. E. Saunders(10), Anže Slosar(10), Angela C. Taylor(10), D. Titterington(10), R. A. Watson(10), Keith Grainge(9), Paul F. Scott(9), Ramesh Arasaradnam(9), D. L. Clements(7), S. Serjeant(7)