Andrey Kormilitzin

According to our database, Andrey Kormilitzin authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Clinical Prompt Learning With Frozen Language Models.

Niall Taylor, Yi Zhang, Dan W. Joyce, Ziming Gao, Andrey Kormilitzin, Alejo J. Nevado-Holgado

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Large Language Models Perform on Par with Experts Identifying Mental Health Factors in Adolescent Online Forums.

Isabelle Lorge, Dan W. Joyce, Andrey Kormilitzin

CoRR, 2024

Bespoke Large Language Models for Digital Triage Assistance in Mental Health Care.

Niall Taylor, Andrey Kormilitzin, Isabelle Lorge, Alejo J. Nevado-Holgado, Dan W. Joyce

CoRR, 2024

Detecting the Clinical Features of Difficult-to-Treat Depression using Synthetic Data from Large Language Models.

Isabelle Lorge, Dan W. Joyce, Niall Taylor, Alejo J. Nevado-Holgado, Andrea Cipriani, Andrey Kormilitzin

CoRR, 2024

Developing healthcare language model embedding spaces.

Niall Taylor, Dan Schofield, Andrey Kormilitzin, Dan W. Joyce, Alejo J. Nevado-Holgado

Artif. Intell. Medicine, 2024

Model development for bespoke large language models for digital triage assistance in mental health care.

Niall Taylor, Andrey Kormilitzin, Isabelle Lorge, Alejo J. Nevado-Holgado, Andrea Cipriani, Dan W. Joyce

Artif. Intell. Medicine, 2024

Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks.

Niall Taylor, Upamanyu Ghose, Omid Rohanian, Mohammadmahdi Nouriborji, Andrey Kormilitzin, David A. Clifton, Alejo J. Nevado-Holgado

Artif. Intell. Medicine, 2024

2023

Harnessing the potential of machine learning and artificial intelligence for dementia research.

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

Brain Informatics, December, 2023

Explainable artificial intelligence for mental health through transparency and interpretability for understandability.

Dan W. Joyce, Andrey Kormilitzin, Katharine A. Smith, Andrea Cipriani

npj Digit. Medicine, 2023

2022

Validation of UK Biobank data for mental health outcomes: A pilot study using secondary care electronic health records.

Zhenpeng Li, Andrey Kormilitzin, Marco Fernandes, Nemanja Vaci, Qiang Liu, Danielle Newby, Sarah M. Goodday, Tanya Smith, Alejo J. Nevado-Holgado, Laura Winchester

Int. J. Medical Informatics, 2022

Clinical Prompt Learning with Frozen Language Models.

Niall Taylor, Yi Zhang, Dan W. Joyce, Alejo J. Nevado-Holgado, Andrey Kormilitzin

CoRR, 2022

2021

Rationale production to support clinical decision-making.

Niall Taylor, Lei Sha, Dan W. Joyce, Thomas Lukasiewicz, Alejo J. Nevado-Holgado, Andrey Kormilitzin

CoRR, 2021

Med7: A transferable clinical natural language processing model for electronic health records.

Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Alejo J. Nevado-Holgado

Artif. Intell. Medicine, 2021

2020

Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks.

Luka Gligic, Andrey Kormilitzin, Paul Goldberg, Alejo J. Nevado-Holgado

Neural Networks, 2020

Maximizing the use of social and behavioural information from secondary care mental health electronic health records.

Sarah M. Goodday, Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Andrea Cipriani, Tanya Smith, Alejo J. Nevado-Holgado

J. Biomed. Informatics, 2020

Population Gradients improve performance across data-sets and architectures in object classification.

Yurika Sakai, Andrey Kormilitzin, Qiang Liu, Alejo J. Nevado-Holgado

CoRR, 2020

Med7: a transferable clinical natural language processing model for electronic health records.

Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Alejo J. Nevado-Holgado

CoRR, 2020

An efficient representation of chronological events in medical texts.

Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado

Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 2020

2019

Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture.

Andrey Kormilitzin, Xinyu Yang, William H. Stone, Caroline Woffindale, Francesca Nicholls, Elena Ribe, Alejo J. Nevado-Holgado, Noel J. Buckley

CoRR, 2019

The Signature-Based Model for Early Detection of Sepsis From Electronic Health Records in the Intensive Care Unit.

James Morrill, Andrey Kormilitzin, Alejo J. Nevado-Holgado, Sumanth Swaminathan, Sam Howison, Terry J. Lyons

Proceedings of the 46th Computing in Cardiology, 2019

2018

Few-shot Learning for Named Entity Recognition in Medical Text.

Maximilian Hofer, Andrey Kormilitzin, Paul W. Goldberg, Alejo J. Nevado-Holgado

CoRR, 2018

2016

A Primer on the Signature Method in Machine Learning.

Ilya Chevyrev, Andrey Kormilitzin

CoRR, 2016