Niels Peek on Muck Rack

Niels Peek

Manchester
As seen in: Wiley Online Library, PLOS, PLOS Medicine, Annals of the Rheumatic Diseases, BMJ Quality & Safety, SAGE Publishing, Implementation Science, Medscape, Annals of Family Medicine, BJGP (British Journal of General Practice) and
Professor of Data Science and Healthcare Improvement at the University of Cambridge, UK. Views my own.
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Articles

Cluster separation outperforms other metrics in validating multimorbidity patterns: Statistical simulation study

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By Alexander Pate, Glen Martin, James Rafferty, Thamer Ba Dhafari, Farideh Jalali-najafabadi, Marlous Hall, Niels Peek
| Journal of Clinical Epidemiology
aDivision of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, M13 9PL, Manchester, UK bPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Singleton Park, SA2 8PP, Swansea, UK cDivision of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK...
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Development and evaluation of machine learning algorithms for the prediction of opioid-related deaths among UK patients with non-cancer pain

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By David Jenkins, Niels Peek, Meghna Jani, Jose Benitez-Aurioles
| PLOS
Loading metrics Open Access Peer-reviewed Research Article Citation: Benitez-Aurioles J, Raul Ramirez Medina C, Jenkins D, Peek N, Jani M (2026) Development and evaluation of machine learning algorithms for the prediction of opioid-related deaths among UK patients with non-cancer pain. PLOS Digit Health 5(1): e0001190.
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Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views

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By Susan Frances Moschogianis, Sarah Darley, Tessa Coulson, Niels Peek
| Annals of Family Medicine
Abstract PURPOSE Increased workload associated with electronic visits (eVisits) in primary care could potentially be decreased by the use of artificial intelligence (AI); however, it is unknown whether this use of AI would be acceptable to staff and patients. We explored patient and primary care staff views on the use of and opportunities for AI during eVisits.
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