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ORCIDAlejo J. Nevado-Holgado
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2020 – today
- 2024
[j10]Niall Taylor
, Andrey Kormilitzin, Isabelle Lorge, Alejo J. Nevado-Holgado, Andrea Cipriani, Dan W. Joyce:
Model development for bespoke large language models for digital triage assistance in mental health care. Artif. Intell. Medicine 157: 102988 (2024)- [j9]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. Artif. Intell. Medicine 157: 103002 (2024) - [j8]Niall Taylor, Dan Schofield, Andrey Kormilitzin, Dan W. Joyce, Alejo J. Nevado-Holgado:
Developing healthcare language model embedding spaces. Artif. Intell. Medicine 158: 103009 (2024) - [j7]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:
Paired plasma lipidomics and proteomics analysis in the conversion from mild cognitive impairment to Alzheimer's disease. Comput. Biol. Medicine 176: 108588 (2024) - [j6]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) - [i16]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) - [i15]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) - [i14]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) - [i13]Niall Taylor, Dan Schofield, Andrey Kormilitzin, Dan W. Joyce, Alejo J. Nevado-Holgado:
Developing Healthcare Language Model Embedding Spaces. CoRR abs/2403.19802 (2024) - 2023
- [i12]Asmita Poddar, Vladimir Uzun, Elizabeth M. Tunbridge, Wilfried Haerty, Alejo J. Nevado-Holgado:
Identifying DNA Sequence Motifs Using Deep Learning. CoRR abs/2311.12884 (2023) - 2022
- [j5]Zhenpeng Li, Andrey Kormilitzin, Marco Fernandes, Nemanja Vaci, Qiang Liu, Danielle Newby, Sarah M. Goodday, Tanya Smith, Alejo J. Nevado-Holgado, Laura Winchester:
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) - [i11]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) - [i10]Alejo J. Nevado-Holgado, Colin A. Espie, Maria Liakata, Alasdair Henry, Jenny Gu, Niall Taylor, Kate Saunders, Tom Walker, Chris Miller:
Personalised recommendations of sleep behaviour with neural networks using sleep diaries captured in Sleepio. CoRR abs/2208.00033 (2022) - 2021
- [j4]Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Alejo J. Nevado-Holgado:
Med7: A transferable clinical natural language processing model for electronic health records. Artif. Intell. Medicine 118: 102086 (2021) - [i9]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
- [j3]Sarah M. Goodday, Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Andrea Cipriani, Tanya Smith, Alejo J. Nevado-Holgado:
Maximizing the use of social and behavioural information from secondary care mental health electronic health records. J. Biomed. Informatics 107: 103429 (2020) - [j2]Luka Gligic, Andrey Kormilitzin, Paul Goldberg, Alejo J. Nevado-Holgado:
Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks. Neural Networks 121: 132-139 (2020) - [c6]John Pougue Biyong, Bo Wang, Terry J. Lyons, Alejo J. Nevado-Holgado:
Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder. ClinicalNLP@EMNLP 2020: 41-54 - [c5]Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado:
An efficient representation of chronological events in medical texts. LOUHI@EMNLP 2020: 97-103 - [c4]Bo Wang, Yue Wu, Niall Taylor, Terry J. Lyons, Maria Liakata, Alejo J. Nevado-Holgado, Kate E. A. Saunders:
Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews. INTERSPEECH 2020: 437-441 - [i8]Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Alejo J. Nevado-Holgado:
Med7: a transferable clinical natural language processing model for electronic health records. CoRR abs/2003.01271 (2020) - [i7]Bo Wang, Yue Wu, Niall Taylor, Terry J. Lyons, Maria Liakata, Alejo J. Nevado-Holgado, Kate E. A. Saunders:
Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews. CoRR abs/2008.03408 (2020) - [i6]John Pougue Biyong, Bo Wang, Terry J. Lyons, Alejo J. Nevado-Holgado:
Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder. CoRR abs/2010.04897 (2020) - [i5]Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado:
An efficient representation of chronological events in medical texts. CoRR abs/2010.08433 (2020) - [i4]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
- [c3]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 - [c2]Bo Wang, Maria Liakata, Hao Ni, Terry J. Lyons, Alejo J. Nevado-Holgado, Kate Saunders:
A Path Signature Approach for Speech Emotion Recognition. INTERSPEECH 2019: 1661-1665 - [i3]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) - [i2]Andrey Kormilitzin, Xinyu Yang, William H. Stone, Caroline Woffindale, Francesca Nicholls, Elena Ribe, Alejo J. Nevado-Holgado, Noel J. Buckley:
Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture. CoRR abs/1908.11399 (2019) - 2018
- [i1]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) - 2012
- [j1]Alejo J. Nevado-Holgado, Frank Marten, Mark P. Richardson, John R. Terry:
Characterising the dynamics of EEG waveforms as the path through parameter space of a neural mass model: Application to epilepsy seizure evolution. NeuroImage 59(3): 2374-2392 (2012) - 2011
- [c1]Alejo J. Nevado-Holgado, John R. Terry, Rafal Bogacz:
Bifurcation analysis points towards the source of beta neuronal oscillations in Parkinson's disease. CDC/ECC 2011: 6492-6497 - 2010
- [b1]Alejo J. Nevado-Holgado:
Construction and study of mathematical models firmly based on neurophysiological data to investigate Parkinson's disease and epilepsy. University of Bristol, UK, 2010
Coauthor Index
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