Zobrazeno 1 - 10
of 302
pro vyhledávání: '"David A, Clifton"'
Autor:
Jia Wei, Jiandong Zhou, Zizheng Zhang, Kevin Yuan, Qingze Gu, Augustine Luk, Andrew J. Brent, David A. Clifton, A. Sarah Walker, David W. Eyre
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-14 (2024)
Abstract Background Accurately predicting hospital discharge events could help improve patient flow and the efficiency of healthcare delivery. However, using machine learning and diverse electronic health record (EHR) data for this task remains incom
Externí odkaz:
https://doaj.org/article/f06c8a54ca284a09804811017394d711
Autor:
Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew Soltan, Patrick Schwab, Kim Branson, David A. Clifton
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Robust data privacy regulations hinder the exchange of healthcare data among institutions, crucial for global insights and developing generalised clinical models. Federated learning (FL) is ideal for training global models using datasets fro
Externí odkaz:
https://doaj.org/article/0662625f7c2646b898f3637c5ae0ac41
Autor:
Jenny Yang, Nguyen Thanh Dung, Pham Ngoc Thach, Nguyen Thanh Phong, Vu Dinh Phu, Khiem Dong Phu, Lam Minh Yen, Doan Bui Xuan Thy, Andrew A. S. Soltan, Louise Thwaites, David A. Clifton
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract The integration of artificial intelligence (AI) into healthcare systems within low-middle income countries (LMICs) has emerged as a central focus for various initiatives aiming to improve healthcare access and delivery quality. In contrast t
Externí odkaz:
https://doaj.org/article/84c3b2f82d464e5d896daa16dfc18acd
Autor:
Lei Lu, Tingting Zhu, Ying Tan, Jiandong Zhou, Jenny Yang, Lei Clifton, Yuan-Ting Zhang, David A. Clifton
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 8, Pp 6758-6782 (2024)
Heart rate variability (HRV) is an important metric in cardiovascular health monitoring. Spectral analysis of HRV provides essential insights into the functioning of the cardiac autonomic nervous system. However, data artefacts could degrade signal q
Externí odkaz:
https://doaj.org/article/dd5276b941ca43fcbdf3025211f59c66
Addressing label noise for electronic health records: insights from computer vision for tabular data
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract The analysis of extensive electronic health records (EHR) datasets often calls for automated solutions, with machine learning (ML) techniques, including deep learning (DL), taking a lead role. One common task involves categorizing EHR data i
Externí odkaz:
https://doaj.org/article/bf7bac6a387b45b5b6966c528a91d1e6
Autor:
Jenny Yang, Lei Clifton, Nguyen Thanh Dung, Nguyen Thanh Phong, Lam Minh Yen, Doan Bui Xuan Thy, Andrew A. S. Soltan, Louise Thwaites, David A. Clifton
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Collaborative efforts in artificial intelligence (AI) are increasingly common between high-income countries (HICs) and low- to middle-income countries (LMICs). Given the resource limitations often encountered by LMICs, collaboration becomes
Externí odkaz:
https://doaj.org/article/a88db8c825944c868781efc98703caa4
Autor:
Vinod Kumar Chauhan, Anshul Thakur, Odhran O’Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Irregular time series (ITS) are common in healthcare as patient data is recorded in an electronic health record (EHR) system as per clinical guidelines/requirements but not for research and depends on a patient’s health status.
Externí odkaz:
https://doaj.org/article/266459d530234b22972e9cc0f8aeb32b
Autor:
Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, Aidan Acquah, David A. Clifton, Aiden Doherty
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract Accurate physical activity monitoring is essential to understand the impact of physical activity on one’s physical health and overall well-being. However, advances in human activity recognition algorithms have been constrained by the limit
Externí odkaz:
https://doaj.org/article/a233e5074a734480abce7d0522cfceb1
Atrial fibrillation after cardiac surgery: identifying candidate predictors through a Delphi process
Autor:
Gregory Y H Lip, Oliver C Redfern, Peter J Watkinson, David A Clifton, Jonathan Bedford, Jochen D Muehlschlegel, Gary Stephen Collins, Kara G Fields, Benjamin O’Brien
Publikováno v:
BMJ Open, Vol 14, Iss 9 (2024)
Objectives This study was undertaken to identify potential predictors of atrial fibrillation after cardiac surgery (AFACS) through a modified Delphi process and expert consensus. These will supplement predictors identified through a systematic review
Externí odkaz:
https://doaj.org/article/11b4bc5d33034c51819920bff912b9f8
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract The lack of data democratization and information leakage from trained models hinder the development and acceptance of robust deep learning-based healthcare solutions. This paper argues that irreversible data encoding can provide an effective
Externí odkaz:
https://doaj.org/article/088864fcae38455f81f801fe1039ef53