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Steven Lister

Showing results (11-20 of 16) with videos related to

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BMJ Open|October 6, 2023
Can we collect health-related quality of life information from anticoagulated atrial fibrillation participants who have recently experienced a bleed? An observational feasibility study in primary and secondary care in Wales and through a UK online forumHayley Anne Hutchings, Kirsty J Lanyon, Gail Holland, et al.
Plos One|November 2, 2019
Predicting atrial fibrillation in primary care using machine learningNathan R Hill, Daniel Ayoubkhani, Phil McEwan, et al.
Pilot and Feasibility Studies|August 12, 2022
Investigating the feasibility of recruitment to an observational, quality-of-life study of patients diagnosed with atrial fibrillation (AF) who have experienced a bleed while anticoagulated: EQUAL-AF feasibility study protocolHayley A Hutchings, Kirsty Lanyon, Steven Lister, et al.
Journal of the American Heart Association|March 3, 2023
Sex Differences in Oral Anticoagulation Therapy in Patients Hospitalized With Atrial Fibrillation: A Nationwide Cohort StudyKuan Ken Lee, Dimitrios Doudesis, Rong Bing, et al.
Journal of Medical Economics|July 14, 2022
Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in EnglandNathan R Hill, Lara Groves, Carissa Dickerson, et al.
Contemporary Clinical Trials|October 22, 2020
Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trialNathan R Hill, Chris Arden, Lee Beresford-Hulme, et al.
Pageof 2

Showing results (11-20 of 16) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 16 results.
BMJ Open|October 6, 2023
Can we collect health-related quality of life information from anticoagulated atrial fibrillation participants who have recently experienced a bleed? An observational feasibility study in primary and secondary care in Wales and through a UK online forumHayley Anne Hutchings, Kirsty J Lanyon, Gail Holland, et al.
Plos One|November 2, 2019
Predicting atrial fibrillation in primary care using machine learningNathan R Hill, Daniel Ayoubkhani, Phil McEwan, et al.
Pilot and Feasibility Studies|August 12, 2022
Investigating the feasibility of recruitment to an observational, quality-of-life study of patients diagnosed with atrial fibrillation (AF) who have experienced a bleed while anticoagulated: EQUAL-AF feasibility study protocolHayley A Hutchings, Kirsty Lanyon, Steven Lister, et al.
Journal of the American Heart Association|March 3, 2023
Sex Differences in Oral Anticoagulation Therapy in Patients Hospitalized With Atrial Fibrillation: A Nationwide Cohort StudyKuan Ken Lee, Dimitrios Doudesis, Rong Bing, et al.
Journal of Medical Economics|July 14, 2022
Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in EnglandNathan R Hill, Lara Groves, Carissa Dickerson, et al.
Contemporary Clinical Trials|October 22, 2020
Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trialNathan R Hill, Chris Arden, Lee Beresford-Hulme, et al.
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