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pro vyhledávání: '"Joyce, Dan W"'
Mental health in children and adolescents has been steadily deteriorating over the past few years. The recent advent of Large Language Models (LLMs) offers much hope for cost and time efficient scaling of monitoring and intervention, yet despite spec
Externí odkaz:
http://arxiv.org/abs/2404.16461
Pre-trained Large Language Models (LLMs) often struggle on out-of-domain datasets like healthcare focused text. We explore specialized pre-training to adapt smaller LLMs to different healthcare datasets. Three methods are assessed: traditional masked
Externí odkaz:
http://arxiv.org/abs/2403.19802
Contemporary large language models (LLMs) may have utility for processing unstructured, narrative free-text clinical data contained in electronic health records (EHRs) -- a particularly important use-case for mental health where a majority of routine
Externí odkaz:
http://arxiv.org/abs/2403.19790
Autor:
Lorge, Isabelle, Joyce, Dan W., Taylor, Niall, Nevado-Holgado, Alejo, Cipriani, Andrea, Kormilitzin, Andrey
Difficult-to-treat depression (DTD) has been proposed as a broader and more clinically comprehensive perspective on a person's depressive disorder where despite treatment, they continue to experience significant burden. We sought to develop a Large L
Externí odkaz:
http://arxiv.org/abs/2402.07645
Autor:
Meyer, Nicholas, Kerz, Maximilian, Folarin, Amos, Joyce, Dan W, Jackson, Richard, Karr, Chris, Dobson, Richard, MacCabe, James
Publikováno v:
JMIR mHealth and uHealth, Vol 6, Iss 10, p e188 (2018)
BackgroundThere is growing interest in the potential for wearable and mobile devices to deliver clinically relevant information in real-world contexts. However, there is limited information on their acceptability and barriers to long-term use in peop
Externí odkaz:
https://doaj.org/article/fb4ff10c42a84177ad647a22d4b93ab2
Autor:
Taylor, Niall, Kormilitzin, Andrey, Lorge, Isabelle, Nevado-Holgado, Alejo, Cipriani, Andrea, Joyce, Dan W.
Publikováno v:
In Artificial Intelligence In Medicine November 2024 157
Autor:
Taylor, Niall, Sha, Lei, Joyce, Dan W, Lukasiewicz, Thomas, Nevado-Holgado, Alejo, Kormilitzin, Andrey
The development of neural networks for clinical artificial intelligence (AI) is reliant on interpretability, transparency, and performance. The need to delve into the black-box neural network and derive interpretable explanations of model output is p
Externí odkaz:
http://arxiv.org/abs/2111.07611
Akademický článek
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Autor:
Taylor, Niall, Zhang, Yi, Joyce, Dan W., Gao, Ziming, Kormilitzin, Andrey, Nevado-Holgado, Alejo
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems; November 2024, Vol. 35 Issue: 11 p16453-16463, 11p
Autor:
Mair, Frances S., Nickpour, Farnaz, Nicholl, Barbara, MacDonald, Sara, Joyce, Dan W., Cooper, Jonathan, Dickson, Nic, Leason, Isobel, Abbasi, Qammer H., Akin, Izzettin F., Deligianni, Fani, Camacho, Elizabeth, Downing, Jennifer, Garrett, Hilary, Johnston Gray, Martina, Lowe, David J., Imran, Muhammad A., Padmanabhan, Sandosh, McCowan, Colin, Clarkson, P. John
Publikováno v:
Journal of Multimorbidity & Comorbidity; 9/30/2024, p1-9, 9p