Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Pol Mac, Aonghusa"'
Autor:
Pol Mac Aonghusa, Alison J. Wright, Robert West, Janna Hastings, Yufang Hou, Alison O'Mara-Eves, Francesca Bonin, Martin Gleize, Susan Michie, Marie Johnston, James Thomas
Publikováno v:
Wellcome Open Research, Vol 8 (2024)
Background Using reports of randomised trials of smoking cessation interventions as a test case, this study aimed to develop and evaluate machine learning (ML) algorithms for extracting information from study reports and predicting outcomes as part o
Externí odkaz:
https://doaj.org/article/e93d5a1a5b6d45d3974e8ee6b9e2a50d
Autor:
Marco Luca Sbodio, Vanessa López, Thanh Lam Hoang, Theodora Brisimi, Gabriele Picco, Inge Vejsbjerg, Valentina Rho, Pol Mac Aonghusa, Morten Kristiansen, John Segrave-Daly
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Healthcare fraud, waste and abuse are costly problems that have huge impact on society. Traditional approaches to identify non-compliant claims rely on auditing strategies requiring trained professionals, or on machine learning methods requi
Externí odkaz:
https://doaj.org/article/c5a6bd22d8f64f2f8c06aa02dbcd0a9e
Autor:
Pol Mac Aonghusa, Alison J. Wright, Robert West, Janna Hastings, Yufang Hou, Alison O'Mara-Eves, Francesca Bonin, Martin Gleize, Susan Michie, Marie Johnston, James Thomas
Publikováno v:
Wellcome Open Research, Vol 8 (2023)
Background Using reports of randomised trials of smoking cessation interventions as a test case, this study aimed to develop and evaluate machine learning (ML) algorithms for extracting information from study reports and predicting outcomes as part o
Externí odkaz:
https://doaj.org/article/ac776819a79d46b797389ba94c1df0bb
Autor:
Susan Michie, James Thomas, Marie Johnston, Pol Mac Aonghusa, John Shawe-Taylor, Michael P. Kelly, Léa A. Deleris, Ailbhe N. Finnerty, Marta M. Marques, Emma Norris, Alison O’Mara-Eves, Robert West
Publikováno v:
Implementation Science, Vol 12, Iss 1, Pp 1-12 (2017)
Abstract Background Behaviour change is key to addressing both the challenges facing human health and wellbeing and to promoting the uptake of research findings in health policy and practice. We need to make better use of the vast amount of accumulat
Externí odkaz:
https://doaj.org/article/b36c1ed088104fbeb91468c767682ba8
Autor:
Robert West, Francesca Bonin, James Thomas, Alison J Wright, Pol Mac Aonghusa, Martin Gleize, Yufang Hou, Alison O'Mara-Eves, Janna Hastings, Marie Johnston, Susan Michie
Background and aims: Using reports of randomised trials of smoking cessation interventions as a test case, this study aimed to develop and evaluate machine learning (ML) algorithms for extracting information from study reports and predicting outcomes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc8b9760385f6a9dafce310d612d9865
https://doi.org/10.31234/osf.io/wzn2b
https://doi.org/10.31234/osf.io/wzn2b
Intraoperative assessment of tissue can be guided through fluorescence imaging which involves systemic dosing with a fluorophore and subsequent examination of the tissue region of interest with a near-infrared camera. This typically involves administ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc717694829b66155fb04a12a6fe449c
http://arxiv.org/abs/2211.05153
http://arxiv.org/abs/2211.05153
Publikováno v:
Artificial Intelligence in Gastroenterology. 2:77-84
Publikováno v:
Surgical Innovation
In this article, we provide an evidence-based primer of current tools and evolving concepts in the area of intraprocedural artificial intelligence (AI) methods in colonoscopy and laparoscopy as a ‘procedure companion’, with specific focus on colo
Autor:
Susan Michie, Pol Mac Aonghusa
Publikováno v:
Annals of Behavioral Medicine: A Publication of the Society of Behavioral Medicine
Background Artificial Intelligence (AI) is transforming the process of scientific research. AI, coupled with availability of large datasets and increasing computational power, is accelerating progress in areas such as genetics, climate change and ast
Autor:
Debasis, Ganguly, Martin, Gleize, Yufang, Hou, Charles, Jochim, Francesca, Bonin, Alessandra, Pascale, Pierpaolo, Tommasi, Pol, Mac Aonghusa, Robert, West, Marie, Johnston, Mike, Kelly, Susan, Michie
Publikováno v:
AMIA Annu Symp Proc
Findings from randomized controlled trials (RCTs) of behaviour change interventions encode much of our knowledge on intervention efficacy under defined conditions. Predicting outcomes of novel interventions in novel conditions can be challenging, as