Andrey Kormilitzin

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Alejo J Nevado-HolgadoAssociate Professor, University of OxfordAdresă de e-mail confirmată pe psy.ox.ac.uk
Qiang LiuUniversity of Bristol, University of OxfordAdresă de e-mail confirmată pe bristol.ac.uk
Alissa WalshAdresă de e-mail confirmată pe ouh.nhs.uk
Nemanja VaciDepartment of Psychology, University of Sheffield, United KingdomAdresă de e-mail confirmată pe sheffield.ac.uk
Andrea CiprianiProfessor of Psychiatry and NIHR Research Professor, Department of Psychiatry, University of OxfordAdresă de e-mail confirmată pe psych.ox.ac.uk
John GeddesOxford UniversityAdresă de e-mail confirmată pe psych.ox.ac.uk
Gary S. CollinsProfessor of Medical Statistics, Centre for Statistics in Medicine, University of OxfordAdresă de e-mail confirmată pe csm.ox.ac.uk
Guy M GoodwinEmeritus Professor of Psychiatry, University of OxfordAdresă de e-mail confirmată pe psych.ox.ac.uk
Ilya ChevyrevReader, University of EdinburghAdresă de e-mail confirmată pe ed.ac.uk
Laura WinchesterOxford UniversityAdresă de e-mail confirmată pe psych.ox.ac.uk
Sam HowisonOxford UniversityAdresă de e-mail confirmată pe maths.ox.ac.uk
Alexander PrygarinAriel UniversityAdresă de e-mail confirmată pe ariel.ac.il
James MorrillPhD Student, University of OxfordAdresă de e-mail confirmată pe maths.ox.ac.uk
Sumanth SwaminathanVironix HealthAdresă de e-mail confirmată pe vironix.ai
Franco De CrescenzoDepartment of Psychiatry, University of OxfordAdresă de e-mail confirmată pe psych.ox.ac.uk
Ivan KoychevImperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Paul GoldbergProfessor of Computer Science, Oxford UniversityAdresă de e-mail confirmată pe cs.ox.ac.uk
Sarah Margaret Goodday, PhDUniversity of OxfordAdresă de e-mail confirmată pe psych.ox.ac.uk
Goran NenadicDepartment of Computer Science, University of ManchesterAdresă de e-mail confirmată pe manchester.ac.uk
Maximilian HoferDoctoral Candidate, EPFLAdresă de e-mail confirmată pe epfl.ch

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Andrey Kormilitzin

University of Oxford

Adresă de e-mail confirmată pe maths.ox.ac.uk - Pagina de pornire

Machine Learning Deep learning Theoretical Physics Machine learning for healthcare Health Informatics


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
A primer on the signature method in machine learning I Chevyrev, A Kormilitzin arXiv preprint arXiv:1603.03788, 2016	271	2016
Med7: A transferable clinical natural language processing model for electronic health records A Kormilitzin, N Vaci, Q Liu, A Nevado-Holgado Artificial Intelligence in Medicine 118, 102086, 2021	143	2021
Explainable artificial intelligence for mental health through transparency and interpretability for understandability DW Joyce, A Kormilitzin, KA Smith, A Cipriani npj Digital Medicine 6 (1), 6, 2023	102	2023
Named entity recognition in electronic health records using transfer learning bootstrapped neural networks L Gligic, A Kormilitzin, P Goldberg, A Nevado-Holgado Neural Networks 121, 132-139, 2020	102	2020
The signature-based model for early detection of sepsis from electronic health records in the intensive care unit J Morrill, A Kormilitzin, A Nevado-Holgado, S Swaminathan, S Howison, ... 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019	75	2019
Few-shot learning for named entity recognition in medical text M Hofer, A Kormilitzin, P Goldberg, A Nevado-Holgado arXiv preprint arXiv:1811.05468, 2018	73	2018
Defining faecal calprotectin thresholds as a surrogate for endoscopic and histological disease activity in ulcerative colitis—a prospective analysis A Walsh, A Kormilitzin, C Hinds, V Sexton, O Brain, S Keshav, H Uhlig, ... Journal of Crohn's and Colitis 13 (4), 424-430, 2019	72	2019
BFKL approach and maximally helicity violating amplitude <?format ?>in super-Yang-Mills theory J Bartels, A Kormilitzin, LN Lipatov, A Prygarin Physical Review D—Particles, Fields, Gravitation, and Cosmology 86 (6), 065026, 2012	70	2012
Natural language processing for structuring clinical text data on depression using UK-CRIS N Vaci, Q Liu, A Kormilitzin, F De Crescenzo, A Kurtulmus, J Harvey, ... BMJ Ment Health 23 (1), 21-26, 2020	64	2020
Analytic structure of the scattering amplitude in SYM theory in the multi-Regge kinematics: Conformal Regge pole contribution J Bartels, A Kormilitzin, LN Lipatov Physical Review D 89 (6), 065002, 2014	52	2014
Clinical prompt learning with frozen language models N Taylor, Y Zhang, DW Joyce, Z Gao, A Kormilitzin, A Nevado-Holgado IEEE Transactions on Neural Networks and Learning Systems, 2023	43	2023
Utilization of the signature method to identify the early onset of sepsis from multivariate physiological time series in critical care monitoring JH Morrill, A Kormilitzin, AJ Nevado-Holgado, S Swaminathan, ... Critical Care Medicine 48 (10), e976-e981, 2020	39	2020
Analytic structure of the scattering amplitude in SYM theory in multi-Regge kinematics: Conformal Regge cut contribution J Bartels, A Kormilitzin, LN Lipatov Physical Review D 91 (4), 045005, 2015	37	2015
Identifying Predictors of Suicide in Severe Mental Illness: A Feasibility Study of a Clinical Prediction Rule (Oxford Mental Illness and Suicide Tool or OxMIS) M Senior, M Burghart, R Yu, A Kormilitzin, Q Liu, N Vaci, ... Frontiers in psychiatry 11, 268, 2020	34	2020
Associations between brain volumes and cognitive tests with hypertensive burden in UK Biobank D Newby, L Winchester, W Sproviero, M Fernandes, D Wang, ... Journal of Alzheimer’s Disease 84 (3), 1373-1389, 2021	31	2021
Real-world effectiveness, its predictors and onset of action of cholinesterase inhibitors and memantine in dementia: retrospective health record study N Vaci, I Koychev, CH Kim, A Kormilitzin, Q Liu, C Lucas, A Dehghan, ... The British Journal of Psychiatry 218 (5), 261-267, 2021	30	2021
Application of the signature method to pattern recognition in the cequel clinical trial AB Kormilitzin, KEA Saunders, PJ Harrison, JR Geddes, TJ Lyons arXiv preprint arXiv:1606.02074, 2016	25	2016
Artificial intelligence for dementia—Applied models and digital health DM Lyall, A Kormilitzin, C Lancaster, J Sousa, F Petermann‐Rocha, ... Alzheimer's & Dementia 19 (12), 5872-5884, 2023	24	2023
Harnessing the potential of machine learning and artificial intelligence for dementia research JM Ranson, M Bucholc, D Lyall, D Newby, L Winchester, NP Oxtoby, ... Brain informatics 10 (1), 6, 2023	24	2023
Maximizing the use of social and behavioural information from secondary care mental health electronic health records SM Goodday, A Kormilitzin, N Vaci, Q Liu, A Cipriani, T Smith, ... Journal of biomedical informatics 107, 103429, 2020	23	2020

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