Publications by authors named "Jonathan Garibaldi"

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Developing and validating an explainable digital mortality prediction tool for extremely preterm infants.
T'ng Chang Kwok, Chao Chen, Jayaprakash Veeravalli, Carol A C Coupland, Edmund Juszczak, Jonathan Garibaldi

PLOS Digit Health· December 2025

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LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraint.
Mina Jafari, Susan Francis, Jonathan M Garibaldi, Xin Chen

Med Image Anal· October 2022

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Dynamic early warning scores for predicting clinical deterioration in patients with respiratory disease.
Sherif Gonem, Adam Taylor, Grazziela Figueredo, Sarah Forster, Philip Quinlan, Jonathan M Garibaldi

Respir Res· August 2022

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Lessons learned from the COVID-19 pandemic about sample access for research in the UK.
Jessica M Sims, Emma Lawrence, Katy Glazer, Amir Gander, Barry Fuller, Jonathan Garibaldi

BMJ Open· April 2022

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Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis.
Saisakul Chernbumroong, Janice Johnson, Nishant Gupta, Suzanne Miller, Francis X McCormack, Jonathan M Garibaldi

Eur Respir J· June 2021

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The Barriers and Motivators to Using Human Tissues for Research: The Views of UK-Based Biomedical Researchers.
Emma Lawrence, Jessica Sims, Amir Gander, Jonathan M Garibaldi, Barry Fuller

Biopreserv Biobank· August 2020

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Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles.
Utkarsh Agrawal, Daniele Soria, Christian Wagner, Jonathan Garibaldi, Ian O Ellis

Artif Intell Med· June 2019

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Psychological interventions as vaccine adjuvants: A systematic review.
Kavita Vedhara, Kieran Ayling, Kanchan Sunger, Deborah M Caldwell, Vanessa Halliday, Jonathan Garibaldi

Vaccine· May 2019

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Young adults' attitudes to sharing whole-genome sequencing information: a university-based survey.
Pepita Barnard, Sarah Sharples, Brian J Thomson, Jonathan M Garibaldi

BMC Med Genomics· April 2019

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A new accuracy measure based on bounded relative error for time series forecasting.
Chao Chen, Jamie Twycross, Jonathan M Garibaldi

PLoS One· August 2017

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Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Stephen F Weng, Jenna Reps, Joe Kai, Jonathan M Garibaldi, Nadeem Qureshi

PLoS One· August 2017

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Modeling and control of operator functional state in a unified framework of fuzzy inference petri nets.
Jian-Hua Zhang, Jia-Jun Xia, Jonathan M Garibaldi, Petros P Groumpos, Ru-Bin Wang

Comput Methods Programs Biomed· June 2017

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KI67 and DLX2 predict increased risk of metastasis formation in prostate cancer-a targeted molecular approach.
William Jf Green, Graham Ball, Geoffrey Hulman, Catherine Johnson, Gerry Van Schalwyk, Jonathan M Garibaldi

Br J Cancer· July 2016

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Semi-Supervised Fuzzy Clustering with Feature Discrimination.
Longlong Li, Jonathan M Garibaldi, Dongjian He, Meili Wang

PLoS One· May 2016

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A Data-Centric Strategy for Modern Biobanking.
Philip R Quinlan, Stephen Gardner, Martin Groves, Richard Emes, Jonathan Garibaldi

Adv Exp Med Biol· March 2016

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Juxtaposition of system dynamics and agent-based simulation for a case study in immunosenescence.
Grazziela P Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Amanda Whitbrook, Jonathan M Garibaldi

PLoS One· February 2016

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Nottingham Prognostic Index Plus: Validation of a clinical decision making tool in breast cancer in an independent series.
Andrew R Green, Daniele Soria, Jacqueline Stephen, Desmond G Powe, Christopher C Nolan, Jonathan M Garibaldi

J Pathol Clin Res· January 2016

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Automatic detection of protected health information from clinic narratives.
Hui Yang, Jonathan M Garibaldi

J Biomed Inform· December 2015

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A hybrid model for automatic identification of risk factors for heart disease.
Hui Yang, Jonathan M Garibaldi

J Biomed Inform· December 2015

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A supervised adverse drug reaction signalling framework imitating Bradford Hill's causality considerations.
Jenna Marie Reps, Jonathan M Garibaldi, Uwe Aickelin, Jack E Gibson, Richard B Hubbard

J Biomed Inform· August 2015

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Practical detection of a definitive biomarker panel for Alzheimer's disease; comparisons between matched plasma and cerebrospinal fluid.
Joanna L Richens, Kelly-Ann Vere, Roger A Light, Daniele Soria, Jonathan Garibaldi

Int J Mol Epidemiol Genet· June 2014

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A novel semisupervised algorithm for rare prescription side effect discovery.
Jenna M Reps, Jonathan M Garibaldi, Uwe Aickelin, Daniele Soria, Jack E Gibson

IEEE J Biomed Health Inform· March 2014

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Signalling paediatric side effects using an ensemble of simple study designs.
Jenna M Reps, Jonathan M Garibaldi, Uwe Aickelin, Daniele Soria, Jack E Gibson

Drug Saf· March 2014

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A quantifier-based fuzzy classification system for breast cancer patients.
Daniele Soria, Jonathan M Garibaldi, Andrew R Green, Desmond G Powe, Christopher C Nolan

Artif Intell Med· July 2013

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Characteristics of basal cytokeratin expression in breast cancer.
Alaa T Alshareeda, Daniele Soria, Jonathan M Garibaldi, Emad Rakha, Christopher Nolan

Breast Cancer Res Treat· May 2013

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