Georgios Gkoutos

ORCID: 0000-0002-2061-091X

Colleges, School and Institutes

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Most downloaded publications

Type 1 diabetes mellitus and risk of incident epilepsy: a population-based, open-cohort study
G Neil Thomas, Brian H Willis, Krishna Gokhale, Georgios Gkoutos, Parth Narendran & Krishnarajah Nirantharakumar, Feb 2017, In : Diabetologia. 60, 2, p. 258-261 4 p.

Research output: Contribution to journal › Article

195 downloads
Semantic prioritization of novel causative genomic variants
Georgios Gkoutos, 17 Apr 2017, In : PLoS Computational Biology. 13, 4, e1005500.

Research output: Contribution to journal › Article

78 downloads
-Omics biomarker identification pipeline for translational medicine
Georgios Gkoutos & Animesh Acharjee, 14 May 2019, In : Journal of translational medicine. 17, 1, 10 p., 155.

Research output: Contribution to journal › Article

74 downloads
Integrating phenotype ontologies with PhenomeNET
Georgios Gkoutos, 22 Dec 2016, OM 2016 - Ontology Matching: Proceedings of the 11th International Workshop on Ontology Matching. CEUR, Vol. 1766. p. 201-209 9 p. (CEUR Workshop Proceedings; vol. 1766).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

74 downloads
Modifier Ontologies for frequency, certainty, degree, and coverage phenotype modifier
Georgios Gkoutos, 28 Nov 2018, In : Biodiversity data journal. 6, 6, p. e29232

Research output: Contribution to journal › Article

68 downloads

Recent publications

Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction
Animesh Acharjee, Jon Hazeldine, Georgios Gkoutos & Janet Lord, 19 Dec 2019, In : Scientific Data. 6, p. 1-10 10 p., 328.

Research output: Contribution to journal › Article

A practical guide to assess reproducibility of echocardiographic measurements
Luke Slater, Georgios Gkoutos & Dipak Kotecha, Dec 2019, In : Journal of the American Society of Echocardiography. 32, 12, p. 1505-1515 11 p.

Research output: Contribution to journal › Article

Development and validation of multivariable prediction models of remission, recovery and quality of life outcomes in people with first episode psychosis: a machine learning approach
Rachel Upthegrove, Matthew Broome, Georgios Gkoutos & 1 others, Pavan Mallikarjun, Oct 2019, In : The Lancet Digital Health. 1, 6, p. e261-e270 10 p.

Research output: Contribution to journal › Article

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