Research output per year
Research output per year
Personal profile
Further information
Email: [email protected]
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Health Science, DYNAMIC MODELLING METHODS FOR CLINICAL PREDICTION MODEL UPDATING AND MONITORING: IDENTIFICATION AND COMPARISON OF DYNAMIC MODELS FOR HEALTHCARE USE
Award Date: 25 May 2022
Master of Statistics, University of Leicester
23 Sept 2013 → 8 Sept 2014
Award Date: 8 Sept 2014
Bachelor of Science, Mathematics, University of Keele
28 Sept 2011 → 10 Jul 2014
Award Date: 10 Jul 2014
Research Beacons, Institutes and Platforms
- Digital Futures
- Christabel Pankhurst Institute
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Comparing Predictive Performance of Time Invariant and Time Variant Clinical Prediction Models in Cardiac Surgery
Jenkins, D. A., Martin, G. P., Sperrin, M., Brown, B., Kimani, L., Grant, S. & Peek, N., 25 Jan 2024, In: Studies in Health Technology and Informatics. 310, p. 1026-1030 5 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Development and internal validation of prehospital prediction models for identifying intracerebral haemorrhage in suspected stroke patients
Almubayyidh, M., Parry-Jones, A. R. & Jenkins, D. A., 26 Oct 2024, In: BMJ Neurology Open. 6, 2, e000878.Research output: Contribution to journal › Article › peer-review
Open Access -
Factors associated with long-term opioid use among patients with AxSpA or PsA who initiated opioids
Huang, J., Jenkins, D. A., Yimer, B. B. & Jani, M., 16 Aug 2024, In: Rheumatology (Oxford). keae444.Research output: Contribution to journal › Article › peer-review
Open Access -
Machine Learning Applications in Predicting Opioid-Associated Adverse Events: A Systematic Review
Ramirez Medina, C., Benitez-Aurioles, J., Jenkins, D. & Jani, M., 25 Oct 2024, (Accepted/In press) In: n p j Digital Medicine.Research output: Contribution to journal › Article › peer-review
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Machine learning identifies risk factors associated with long-term opioid use in fibromyalgia patients newly initiated on an opioid
Ramirez Medina, C., Feng, M., Huang, J., Jenkins, D. A. & Jani, M., 20 May 2024, (E-pub ahead of print) In: RMD Open. 10, e004232.Research output: Contribution to journal › Article › peer-review
Open Access
Projects
- 1 Active
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Drug-repurposing thiazolidinediones for vascular dementia (award)
Huang, J. (PI), Jenkins, D. (CoI), Chen, L.-C. (CoI), Rutter, M. (CoI) & Cadar, D. (CoI)
1/09/24 → 31/08/25
Project: Research
Press/Media
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The Independent (& various media outlets): Up to one in three with rheumatoid arthritis at risk of long-term opioid use
Jani, M., Huang, J., Dixon, W., Peek, N. & Jenkins, D.
16/05/23
1 item of Media coverage
Press/Media: Research
Thesis
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DYNAMIC MODELLING METHODS FOR CLINICAL PREDICTION MODEL UPDATING AND MONITORING: IDENTIFICATION AND COMPARISON OF DYNAMIC MODELS FOR HEALTHCARE USE
Jenkins, D. (Author), Brown, B. C. (Supervisor), Sperrin, M. (Supervisor), Peek, N. (Supervisor) & Martin, G. (Supervisor), 1 Aug 2022Student thesis: Unknown
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