Andrey Kormilitzin

28 papers Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models. Comput. Biol. Medicine Isabelle Lorge, Dan W. Joyce, Niall Taylor, Alejo J. Nevado-Holgado, Andrea Cipriani, Andrey Kormilitzin
2025	J	`jnl`	Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning. CoRR Torben Berndt, Benjamin Walker, Tiexin Qin, Jan Stühmer, Andrey Kormilitzin
2024	J	`jnl`	Bespoke Large Language Models for Digital Triage Assistance in Mental Health Care. CoRR Niall Taylor, Andrey Kormilitzin, Isabelle Lorge, Alejo J. Nevado-Holgado, Dan W. Joyce
2024	J	`jnl`	Clinical Prompt Learning With Frozen Language Models. IEEE Trans. Neural Networks Learn. Syst. Niall Taylor, Yi Zhang, Dan W. Joyce, Ziming Gao, Andrey Kormilitzin, Alejo J. Nevado-Holgado
2024	J	`jnl`	Detecting the Clinical Features of Difficult-to-Treat Depression using Synthetic Data from Large Language Models. CoRR Isabelle Lorge, Dan W. Joyce, Niall Taylor, Alejo J. Nevado-Holgado, Andrea Cipriani, Andrey Kormilitzin
2024	J	`jnl`	Developing Healthcare Language Model Embedding Spaces. CoRR Niall Taylor, Dan Schofield, Andrey Kormilitzin, Dan W. Joyce, Alejo J. Nevado-Holgado
2024	J	`jnl`	Developing healthcare language model embedding spaces. Artif. Intell. Medicine Niall Taylor, Dan Schofield, Andrey Kormilitzin, Dan W. Joyce, Alejo J. Nevado-Holgado
2024	J	`jnl`	Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks. CoRR Niall Taylor, Upamanyu Ghose, Omid Rohanian, Mohammadmahdi Nouriborji, Andrey Kormilitzin, David A. Clifton, Alejo J. Nevado-Holgado
2024	J	`jnl`	Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks. Artif. Intell. Medicine Niall Taylor, Upamanyu Ghose, Omid Rohanian, Mohammadmahdi Nouriborji, Andrey Kormilitzin, David A. Clifton, Alejo J. Nevado-Holgado
2024	J	`jnl`	Large Language Models Perform on Par with Experts Identifying Mental Health Factors in Adolescent Online Forums. CoRR Isabelle Lorge, Dan W. Joyce, Andrey Kormilitzin
2024	J	`jnl`	Model development for bespoke large language models for digital triage assistance in mental health care. Artif. Intell. Medicine Niall Taylor, Andrey Kormilitzin, Isabelle Lorge, Alejo J. Nevado-Holgado, Andrea Cipriani, Dan W. Joyce
2023	J	`jnl`	Explainable artificial intelligence for mental health through transparency and interpretability for understandability. npj Digit. Medicine Dan W. Joyce, Andrey Kormilitzin, Katharine A. Smith, Andrea Cipriani
2023	J	`jnl`	Harnessing the potential of machine learning and artificial intelligence for dementia research. Brain Informatics Janice M. Ranson, Magda Bucholc, Donald Lyall, Danielle Newby, Laura Winchester, Neil P. Oxtoby, Michele Veldsman, Timothy Rittman, Sarah J. Marzi, Nathan G. Skene, Ahmad Al Khleifat, Isabelle F. Foote, Vasiliki Orgeta, Andrey Kormilitzin, Ilianna Lourida, David J. Llewellyn
2022	J	`jnl`	Clinical Prompt Learning with Frozen Language Models. CoRR Niall Taylor, Yi Zhang, Dan W. Joyce, Alejo J. Nevado-Holgado, Andrey Kormilitzin
2022	J	`jnl`	Validation of UK Biobank data for mental health outcomes: A pilot study using secondary care electronic health records. Int. J. Medical Informatics Zhenpeng Li, Andrey Kormilitzin, Marco Fernandes, Nemanja Vaci, Qiang Liu, Danielle Newby, Sarah M. Goodday, Tanya Smith, Alejo J. Nevado-Holgado, Laura Winchester
2021	J	`jnl`	Med7: A transferable clinical natural language processing model for electronic health records. Artif. Intell. Medicine Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Alejo J. Nevado-Holgado
2021	J	`jnl`	Rationale production to support clinical decision-making. CoRR Niall Taylor, Lei Sha, Dan W. Joyce, Thomas Lukasiewicz, Alejo J. Nevado-Holgado, Andrey Kormilitzin
2020	—	`conf`	An efficient representation of chronological events in medical texts. LOUHI@EMNLP Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado
2020	J	`jnl`	An efficient representation of chronological events in medical texts. CoRR Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado
2020	J	`jnl`	Maximizing the use of social and behavioural information from secondary care mental health electronic health records. J. Biomed. Informatics Sarah M. Goodday, Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Andrea Cipriani, Tanya Smith, Alejo J. Nevado-Holgado
2020	J	`jnl`	Med7: a transferable clinical natural language processing model for electronic health records. CoRR Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Alejo J. Nevado-Holgado
2020	J	`jnl`	Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks. Neural Networks Luka Gligic, Andrey Kormilitzin, Paul Goldberg, Alejo J. Nevado-Holgado
2020	J	`jnl`	Population Gradients improve performance across data-sets and architectures in object classification. CoRR Yurika Sakai, Andrey Kormilitzin, Qiang Liu, Alejo J. Nevado-Holgado
2019	J	`jnl`	Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture. CoRR Andrey Kormilitzin, Xinyu Yang, William H. Stone, Caroline Woffindale, Francesca Nicholls, Elena Ribe, Alejo J. Nevado-Holgado, Noel J. Buckley
2019	J	`jnl`	Named Entity Recognition in Electronic Health Records Using Transfer Learning Bootstrapped Neural Networks. CoRR Luka Gligic, Andrey Kormilitzin, Paul Goldberg, Alejo J. Nevado-Holgado
2019	—	`conf`	The Signature-Based Model for Early Detection of Sepsis From Electronic Health Records in the Intensive Care Unit. CinC James Morrill, Andrey Kormilitzin, Alejo J. Nevado-Holgado, Sumanth Swaminathan, Sam Howison, Terry J. Lyons
2018	J	`jnl`	Few-shot Learning for Named Entity Recognition in Medical Text. CoRR Maximilian Hofer, Andrey Kormilitzin, Paul W. Goldberg, Alejo J. Nevado-Holgado
2016	J	`jnl`	A Primer on the Signature Method in Machine Learning. CoRR Ilya Chevyrev, Andrey Kormilitzin