Alejo J. Nevado-Holgado

According to our database, Alejo J. Nevado-Holgado authored at least 27 papers between 2010 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

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

Paired plasma lipidomics and proteomics analysis in the conversion from mild cognitive impairment to Alzheimer's disease.

Alicia Gómez-Pascual, Talel Naccache, Jin Xu, Kourosh Hooshmand, Asger Wretlind, Martina Gabrielli, Marta Tiffany Lombardo, Liu Shi, Noel J. Buckley, Betty M. Tijms, Stephanie J. B. Vos, Mara ten Kate, Sebastiaan Engelborghs, Kristel Sleegers, Giovanni B. Frisoni, Anders Wallin, Alberto Lleó, Julius Popp, Pablo Martinez-Lage, Johannes Streffer, Frederik Barkhof, Henrik Zetterberg, Pieter Jelle Visser, Simon Lovestone, Lars Bertram, Alejo J. Nevado-Holgado, Alice Gualerzi, Silvia Picciolini, Petroula Proitsi, Claudia Verderio, Juan A. Botía, Cristina Legido-Quigley

Comput. Biol. Medicine, 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

Identifying DNA Sequence Motifs Using Deep Learning.

Asmita Poddar, Vladimir Uzun, Elizabeth M. Tunbridge, Wilfried Haerty, Alejo J. Nevado-Holgado

CoRR, 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

Personalised recommendations of sleep behaviour with neural networks using sleep diaries captured in Sleepio.

Alejo J. Nevado-Holgado, Colin A. Espie, Maria Liakata, Alasdair Henry, Jenny Gu, Niall Taylor, Kate Saunders, Tom Walker, Chris Miller

CoRR, 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

Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews.

Bo Wang, Yue Wu, Niall Taylor, Terry J. Lyons, Maria Liakata, Alejo J. Nevado-Holgado, Kate E. A. Saunders

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 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

Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder.

John Pougue Biyong, Bo Wang, Terry J. Lyons, Alejo J. Nevado-Holgado

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 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

A Path Signature Approach for Speech Emotion Recognition.

Bo Wang, Maria Liakata, Hao Ni, Terry J. Lyons, Alejo J. Nevado-Holgado, Kate Saunders

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 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

2012

Characterising the dynamics of EEG waveforms as the path through parameter space of a neural mass model: Application to epilepsy seizure evolution.

Alejo J. Nevado-Holgado, Frank Marten, Mark P. Richardson, John R. Terry

NeuroImage, 2012

2011

Bifurcation analysis points towards the source of beta neuronal oscillations in Parkinson's disease.

Alejo J. Nevado-Holgado, John R. Terry, Rafal Bogacz

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

Construction and study of mathematical models firmly based on neurophysiological data to investigate Parkinson's disease and epilepsy.

Alejo J. Nevado-Holgado

PhD thesis, 2010