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Andrey Kormilitzin
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2020 – today
- 2024
- [j8]Niall Taylor
, Andrey Kormilitzin
Model development for bespoke large language models for digital triage assistance in mental health care. Artif. Intell. Medicine 157: 102988 (2024) - [j7]Niall Taylor, Yi Zhang, Dan W. Joyce, Ziming Gao, Andrey Kormilitzin, Alejo J. Nevado-Holgado:
Clinical Prompt Learning With Frozen Language Models. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16453-16463 (2024) - [i14]Isabelle Lorge, Dan W. Joyce, Niall Taylor, Alejo J. Nevado-Holgado, Andrea Cipriani, Andrey Kormilitzin:
Detecting the Clinical Features of Difficult-to-Treat Depression using Synthetic Data from Large Language Models. CoRR abs/2402.07645 (2024) - [i13]Niall Taylor, Upamanyu Ghose, Omid Rohanian, Mohammadmahdi Nouriborji, Andrey Kormilitzin, David A. Clifton, Alejo J. Nevado-Holgado:
Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks. CoRR abs/2402.10597 (2024) - [i12]Niall Taylor, Andrey Kormilitzin, Isabelle Lorge, Alejo J. Nevado-Holgado, Dan W. Joyce:
Bespoke Large Language Models for Digital Triage Assistance in Mental Health Care. CoRR abs/2403.19790 (2024) - [i11]Niall Taylor, Dan Schofield, Andrey Kormilitzin, Dan W. Joyce, Alejo J. Nevado-Holgado:
Developing Healthcare Language Model Embedding Spaces. CoRR abs/2403.19802 (2024) - [i10]Isabelle Lorge, Dan W. Joyce, Andrey Kormilitzin:
Large Language Models Perform on Par with Experts Identifying Mental Health Factors in Adolescent Online Forums. CoRR abs/2404.16461 (2024) - 2023
- [j6]Janice M. Ranson, Magda Bucholc
Harnessing the potential of machine learning and artificial intelligence for dementia research. Brain Informatics 10(1): 6 (2023) - [j5]Dan W. Joyce, Andrey Kormilitzin, Katharine A. Smith
Explainable artificial intelligence for mental health through transparency and interpretability for understandability. npj Digit. Medicine 6 (2023) - 2022
- [j4]Zhenpeng Li
Validation of UK Biobank data for mental health outcomes: A pilot study using secondary care electronic health records. Int. J. Medical Informatics 160: 104704 (2022) - [i9]Niall Taylor, Yi Zhang, Dan W. Joyce, Alejo J. Nevado-Holgado, Andrey Kormilitzin:
Clinical Prompt Learning with Frozen Language Models. CoRR abs/2205.05535 (2022) - 2021
- [j3]Andrey Kormilitzin, Nemanja Vaci
Med7: A transferable clinical natural language processing model for electronic health records. Artif. Intell. Medicine 118: 102086 (2021) - [i8]Niall Taylor, Lei Sha, Dan W. Joyce, Thomas Lukasiewicz, Alejo J. Nevado-Holgado, Andrey Kormilitzin:
Rationale production to support clinical decision-making. CoRR abs/2111.07611 (2021) - 2020
- [j2]Sarah M. Goodday
Maximizing the use of social and behavioural information from secondary care mental health electronic health records. J. Biomed. Informatics 107: 103429 (2020) - [j1]Luka Gligic, Andrey Kormilitzin, Paul Goldberg
Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks. Neural Networks 121: 132-139 (2020) - [c2]Andrey Kormilitzin, Nemanja Vaci
An efficient representation of chronological events in medical texts. LOUHI@EMNLP 2020: 97-103 - [i7]Andrey Kormilitzin, Nemanja Vaci
Med7: a transferable clinical natural language processing model for electronic health records. CoRR abs/2003.01271 (2020) - [i6]Andrey Kormilitzin, Nemanja Vaci
An efficient representation of chronological events in medical texts. CoRR abs/2010.08433 (2020) - [i5]Yurika Sakai, Andrey Kormilitzin, Qiang Liu, Alejo J. Nevado-Holgado
Population Gradients improve performance across data-sets and architectures in object classification. CoRR abs/2010.12260 (2020)
2010 – 2019
- 2019
- [c1]James Morrill, Andrey Kormilitzin, Alejo J. Nevado-Holgado, Sumanth Swaminathan, Sam Howison, Terry J. Lyons:
The Signature-Based Model for Early Detection of Sepsis From Electronic Health Records in the Intensive Care Unit. CinC 2019: 1-4 - [i4]Luka Gligic, Andrey Kormilitzin, Paul Goldberg, Alejo J. Nevado-Holgado:
Named Entity Recognition in Electronic Health Records Using Transfer Learning Bootstrapped Neural Networks. CoRR abs/1901.01592 (2019) - [i3]Andrey Kormilitzin, Xinyu Yang, William H. Stone, Caroline Woffindale, Francesca Nicholls
Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture. CoRR abs/1908.11399 (2019) - 2018
- [i2]Maximilian Hofer, Andrey Kormilitzin, Paul W. Goldberg, Alejo J. Nevado-Holgado:
Few-shot Learning for Named Entity Recognition in Medical Text. CoRR abs/1811.05468 (2018) - 2016
- [i1]Ilya Chevyrev, Andrey Kormilitzin:
A Primer on the Signature Method in Machine Learning. CoRR abs/1603.03788 (2016)
Coauthor Index
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last updated on 2024-11-11 21:29 CET by the dblp team
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