Zobrazeno 1 - 10
of 476
pro vyhledávání: '"Collins GS"'
Autor:
Chung, S-C, O'Brien, B, Lip, GYH, Fields, KG, Muehlschlegel, JD, Thakur, A, Clifton, D, Collins, GS, Watkinson, P, Providencia, R
Publikováno v:
Chung, S-C, O'Brien, B, Lip, G Y H, Fields, K G, Muehlschlegel, J D, Thakur, A, Clifton, D, Collins, G S, Watkinson, P & Providencia, R 2023, ' Prognostic model for atrial fibrillation after cardiac surgery : a UK cohort study ', Clinical Research in Cardiology, vol. 112, no. 2, pp. 227-235 . https://doi.org/10.1007/s00392-022-02068-1
Objective To develop a validated clinical prognostic model to determine the risk of atrial fibrillation after cardiac surgery as part of the PARADISE project (NIHR131227). Methods Prospective cohort study with linked electronic health records from a
Publikováno v:
Sports Medicine. 53:297-299
Autor:
Hopewell, S, Boutron, I, Chan, A-W, Collins, GS, de Beyer, JA, Hróbjartsson, A, Nejstgaard, CH, Østengaard, L, Schulz, KF, Tunn, R, Moher, D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a15965d11a32784928692c8ef73e0d9e
https://ora.ox.ac.uk/objects/uuid:4d77d2d5-58cd-4a56-8356-08b816c0b256
https://ora.ox.ac.uk/objects/uuid:4d77d2d5-58cd-4a56-8356-08b816c0b256
Publikováno v:
Statistics in Medicine. 40:4230-4251
In prediction model research, external validation is needed to examine an existing model's performance using data independent to that for model development. Current external validation studies often suffer from small sample sizes and consequently imp
Autor:
Dhiman, P, Gibbs, VN, Collins, GS, Van Calster, B, Bakhishli, G, Grammatopoulos, G, Price, AJ, Taylor, A, Murphy, MF, Kendrick, BJL, Palmer, AJR
Publikováno v:
Transfusion medicine (Oxford, England). 32(4)
Objective Assess the prognostic value of pre-operative haemoglobin concentration (Hb) for identifying patients who develop severe post-operative anaemia or require blood transfusion following primary total hip or knee, or unicompartmental knee arthro
Autor:
Andaur Navarro, CL, Damen, JAA, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R, Riley, RD, Moons, KGM, Hooft, L
Publikováno v:
BMC Medical Research Methodology
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-13 (2022)
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-13 (2022)
ObjectiveWhile many studies have consistently found incomplete reporting of regression-based prediction model studies, evidence is lacking for machine learning-based prediction model studies. We aim to systematically review the adherence of Machine L
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8960d48f7513531d5e319de84beb1eb4
https://eprints.keele.ac.uk/11153/1/s12874-021-01469-6.pdf
https://eprints.keele.ac.uk/11153/1/s12874-021-01469-6.pdf
Autor:
Vasey, B, Nagendran, M, Campbell, B, Clifton, DA, Collins, GS, Denaxas, S, Denniston, AK, Faes, L, Geerts, B, Ibrahim, M, Liu, X, Mateen, BA, Mathur, P, McCradden, MD, Morgan, L, Ordish, J, Rogers, C, Saria, S, Ting, DSW, Watkinson, P, Weber, W, Wheatstone, P, McCulloch, P, DECIDE-AI expert group
Publikováno v:
Bmj. British Medical Journal (Compact Ed.), 377
Vasey, B, Nagendran, M, Campbell, B, Clifton, D A, Collins, G S, Denaxas, S, Denniston, A K, Faes, L, Geerts, B, Ibrahim, M, Liu, X, Mateen, B A, Mathur, P, McCradden, M D, Morgan, L, Ordish, J, Rogers, C, Saria, S, Ting, D S W, Watkinson, P, Weber, W, Wheatstone, P, McCulloch, P & DECIDE-AI expert group 2022, ' Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI ', BMJ . https://doi.org/10.1136/bmj-2022-070904
BMJ (Clinical research ed.), 377. British Medical Association
Vasey, B, Nagendran, M, Campbell, B, Clifton, D A, Collins, G S, Denaxas, S, Denniston, A K, Faes, L, Geerts, B, Ibrahim, M, Liu, X, Mateen, B A, Mathur, P, McCradden, M D, Morgan, L, Ordish, J, Rogers, C, Saria, S, Ting, D S W, Watkinson, P, Weber, W, Wheatstone, P, McCulloch, P & DECIDE-AI expert group 2022, ' Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI ', BMJ . https://doi.org/10.1136/bmj-2022-070904
BMJ (Clinical research ed.), 377. British Medical Association
Contains fulltext : 251202.pdf (Publisher’s version ) (Open Access) A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico, evaluation, but few have yet d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6becc6aa98aa4f872adaccf782163f39
http://hdl.handle.net/2066/251202
http://hdl.handle.net/2066/251202
Publikováno v:
eClinicalMedicine. 52:101656
Background: Current osteoporosis guidelines do not identify individuals with intellectual disabilities (ID) as at risk of fracture, potentially missing opportunities for prevention. We aimed to assess the incidence of fractures in people with ID over
In 2019 we published a pair of articles inStatistics in Medicinethat describe how to calculate the minimum sample size for developing a multivariable prediction model with a continuous outcome, or with a binary or time‐to‐event outcome. As for an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::379707304f7272e6e4bea94e84836dc4
https://lirias.kuleuven.be/handle/123456789/681732
https://lirias.kuleuven.be/handle/123456789/681732