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Measuring follow-up time in routinely-collected health datasets: Challenges and solutions
Thayer, Daniel, Rees, Arfon, Kennedy, Jon, Collins, Huw, Harris, Dan, Halcox, Julian, Ruschetti, Luca, Noyce, Richard, Brooks, Caroline
Published in PloS one (11.02.2020)
Published in PloS one (11.02.2020)
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Journal Article
Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol
Al Sallakh, Mohammad A, Rodgers, Sarah E, Lyons, Ronan A, Sheikh, Aziz, Davies, Gwyneth A
Published in NPJ primary care respiratory medicine (20.06.2018)
Published in NPJ primary care respiratory medicine (20.06.2018)
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Journal Article
Algorithmic approach to finding people with multiple sclerosis using routine healthcare data in Wales
Nicholas, Richard, Tallantyre, Emma Clare, Witts, James, Marrie, Ruth Ann, Craig, Elaine M, Knowles, Sarah, Pearson, Owen Rhys, Harding, Katherine, Kreft, Karim, Hawken, J, Ingram, Gillian, Morgan, Bethan, Middleton, Rodden M, Robertson, Neil, Research Group, UKMS Register
Published in Journal of neurology, neurosurgery and psychiatry (01.11.2024)
Published in Journal of neurology, neurosurgery and psychiatry (01.11.2024)
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Journal Article
Case-finding for common mental disorders of anxiety and depression in primary care: an external validation of routinely collected data
John, Ann, McGregor, Joanne, Fone, David, Dunstan, Frank, Cornish, Rosie, Lyons, Ronan A., Lloyd, Keith R.
Published in BMC medical informatics and decision making (15.03.2016)
Published in BMC medical informatics and decision making (15.03.2016)
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Journal Article