Results 1 to 10 of about 28,481 (157)

Machine Learning for Brain MRI Data Harmonisation: A Systematic Review [PDF]

Bioengineering, 2023
Background: Magnetic Resonance Imaging (MRI) data collected from multiple centres can be heterogeneous due to factors such as the scanner used and the site location. To reduce this heterogeneity, the data needs to be harmonised.
Grace Wen, Vickie Shim, Samantha Jane Holdsworth, Justin Fernandez, Miao Qiao, Nikola Kasabov, Alan Wang   +6 more
doaj   +2 more sources

Defining and conceptualising data harmonisation: a scoping review protocol [PDF]

Systematic Reviews, 2018
Background Data harmonisation is an important intervention to strengthen health systems functioning. It has the potential to enhance the production, accessibility and utilisation of routine health information for clinical and service management decision ...
Bey-Marrié Schmidt, Christopher J. Colvin, Ameer Hohlfeld, Natalie Leon   +3 more
doaj   +2 more sources

Meta-analysis of economic evaluation studies: data harmonisation and methodological issues [PDF]

BMC Health Services Research, 2022
Background In the context of ever-growing health expenditure and limited resources, economic evaluations aid in making evidence-informed policy decisions.
Bhavani Shankara Bagepally, Usa Chaikledkaew, Nathorn Chaiyakunapruk, John Attia, Ammarin Thakkinstian   +4 more
doaj   +2 more sources

Pretrained language models for semantics-aware data harmonisation of observational clinical studies in the era of big data [PDF]

BMC Medical Informatics and Decision Making
Background In clinical research, there is a strong drive to leverage big data from population cohort studies and routine electronic healthcare records to design new interventions, improve health outcomes and increase the efficiency of healthcare delivery.
Jakub J. Dylag, Zlatko Zlatev, Michael Boniface   +2 more
doaj   +4 more sources

Conceptual framework for data harmonisation in mental health using the International Classification of Functioning, Disability and Health: an example with the R2D2-MH consortium [PDF]

BMJ Mental Health
Introduction Advancing research and support for neurologically diverse populations requires novel data harmonisation methods that are capable of aligning with contemporary approaches to understanding health and disability.Objectives We present the ...
Louise Gallagher, Tony Charman, Dieter Wolke, Jan Buitelaar, Sven Bölte, Emily Jones, Thomas Bourgeron, Marie Schaer, Kristien Hens, Declan Murphy, Melissa H Black, Christine Ecker, Yair Sadaka, Beate St Pourcain, Stef Bonnot-Briey   +14 more
doaj   +2 more sources

Harmonising research data to support mental health services decision making and care planning: development of a data harmonisation platform in regional Australia [PDF]

BMC Health Services Research
Background This paper outlines the development of a new, collaborative data harmonisation initiative within the Hunter New England (HNE) region of New South Wales in Australia.
Agatha Conrad, Jamin Day, Ross Tynan, Dara Sampson, Frances Kay-Lambkin, Brian Kelly, Rhonda Wilson, Emma Axelsson, Louise Thornton, Patrick Skippen, Emily Pollock, Shaun Grady, Jaelea Skehan, Ketrina Sly   +13 more
doaj   +2 more sources

Antimicrobial Resistance Surveillance: Data Harmonisation and Data Selection within Secondary Data Use [PDF]

Antibiotics
Resistance to last-resort antibiotics is a global threat to public health. Therefore, surveillance and monitoring systems for antimicrobial resistance should be established on a national and international scale.
Sinja Bleischwitz, Tristan Salomon Winkelmann, Yvonne Pfeifer, Martin Alexander Fischer, Niels Pfennigwerth, Jens André Hammerl, Ulrike Binsker, Jörg B. Hans, Sören Gatermann, Annemarie Käsbohrer, Guido Werner, Lothar Kreienbrock   +11 more
doaj   +2 more sources

Definitions, components and processes of data harmonisation in healthcare: a scoping review [PDF]

BMC Medical Informatics and Decision Making, 2020
Background Data harmonisation (DH) has emerged amongst health managers, information technology specialists and researchers as an important intervention for routine health information systems (RHISs).
Bey-Marrié Schmidt, Christopher J. Colvin, Ameer Hohlfeld, Natalie Leon   +3 more
doaj   +2 more sources

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions [PDF]

Information Fusion, 2022
Guang Yang, Henry C Woodruff, Philippe Lambin   +2 more
exaly   +2 more sources

Improving data sharing in nutritional science: a symposium report of challenges, opportunities, and best practice recommendations [PDF]

Journal of Nutritional Science
This paper summarises the proceedings from two symposia (IUNS-ICN, 2025 and a FENS Task Force Northern Europe Networking webinar, 2025) convened to discuss the status of data sharing in nutritional science, with a focus on the challenges, opportunities ...
Lauren Danielle Devine, Martina Rooney, Yashvee Dunneram, Eileen R. Gibney, Kiera McNeice, Douglas Taren, Frederik Moller, Heli Reinivuo, Ellen Trolle, Mikael Fogelholm, Kirsi Laitinen, Bernard M. Corfe   +11 more
doaj   +2 more sources