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Ben Glampson

As seen in: Nature, PLOS Medicine, medRxiv
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Articles by Ben Glampson

Identifying high-risk patient clusters for falls using unsupervised machine learning on linked primary and secondary care electronic health record data

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By Rachael Lear, Rachel Tao, Catalina Carenzo, Ekin Yagis, Zhuoyu Li, Sharon O’Malley, Yusuf AbdulLahi, Ben Glampson, Colin Mitchell, Erik K. Mayer, Maria Tipper, Agnes Motsi
| Nature Verified
Abstract Falls risk is multifactorial, involving a combination of clinical and sociodemographic factors. Although guidelines acknowledge this complexity, most research has focused on individual risk factors, leaving the combined impact of comorbidities relatively understudied.
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Transformer-based deep learning model for the diagnosis of suspected lung cancer in primary care based on electronic health record data

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By Lan Wang, Yonghua Yin, Ben Glampson, Robert Peach
| medRxiv
The authors have declared no competing interest. This work was supported by a project grant from Cancer Research UK 37891/A25310 and the NIHR Imperial Biomedical Research Centre. I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
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Mortality risk prediction of high-sensitivity C-reactive protein in suspected acute coronary syndrome: A cohort study

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By Amit Kaura, Adam Hartley, Vasileios F. Panoulas, Ben Glampson
| PLOS Medicine Verified
Loading metrics Open Access Peer-reviewed Research Article Amit Kaura, Adam Hartley, Vasileios Panoulas, Ben Glampson, Anoop S. V. Shah, Jim Davies, Abdulrahim Mulla, Kerrie Woods, Joe Omigie, Anoop D. Shah, Mark R. Thursz, Paul Elliott, Harry Hemmingway, Bryan Williams, Folkert W. Asselbergs, Michael O’Sullivan, Graham M. Lord, Adam Trickey, Jonathan AC Sterne, Dorian O. Haskard, Narbeh Melikian, Darrel P. Francis, Wolfgang Koenig, Ajay M. Shah, Rajesh Kharbanda, Divaka Perera, Riyaz S. Patel, Keith M.
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A unified machine learning approach to time series forecasting applied to demand at emergency departments

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By Thomas A Mellan, Swapnil Mishra, Michaela A.C. Vollmer, Ben Glampson
| Biomed Central (BMC)
Research article Open Access Published: 18 January 2021 ORCID: orcid.org/0000-0001-6970-71921, Ben Glampson2, Thomas Mellan1, Swapnil Mishra1, Luca Mercuri2, Ceire Costello1, Robert Klaber2, Graham Cooke2, Seth Flaxman3 & Samir Bhatt1,4 BMC Emergency Medicine volume 21, Article number: 9 (2021) Cite this article 59 Accesses 6 Altmetric Metrics details Abstract Background There were 25.6 million attendances at Emergency Departments (EDs) in England in 2019 corresponding to an increase of 12...
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