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  • Search: "International Journal for Population Data Science"

Search: '"International Journal for Population Data Science"'

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Journal article

Bibliometric Analysis to Scan and Scrape New Datasets: It’s all about that BASS / Athanasios Anastasiou, Brian Perkins

Swansea University Author: Karen Tingay
Published in International Journal for Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences

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A Position Statement on Population Data Science: / Kim McGrail, Tell Bennett, Andrew Boyd, Fabrizio Carinci, Xinjie Cui, et al

Swansea University Authors: Kerina Jones, Ashley Akbari, David Ford
Published in International Journal of Population Data Science (2018)
In collection: Faculty of Medicine, Health and Life Sciences

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Clinical Validation of the UKMS Register Minimal Dataset utilising Natural Language Processing / Charlotte Owen, Stella Hughes, Richard Gain

Swansea University Authors: Rod Middleton, Ashley Akbari, Hazel Lockhart-Jones, Jemma Jones, David Ford
Published in International Journal of Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences

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Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters / Arron S. Lacey, Jane Lyons, Ashley Akbari, Samantha Turner, Angharad Walters, et al

Swansea University Authors: Arron S. Lacey, Jane Lyons, Ashley Akbari, Samantha Turner, Angharad Walters, Beata Fonferko-Shadrach, Owen Pickrell, Mark Rees, Ronan Lyons, David Ford, Rod Middleton
Published in International Journal for Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences

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The ELAStiC (Electronic Longitudinal Alcohol Study in Communities) project / Akbari Ashley, Lyons Ronan, Berridge Damon, Gallacher John, MacLeod John, et al

Swansea University Author: Ashley Akbari
Published in International Journal for Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences

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Using consented health record linkage in a longitudinal cohort study / Tingay Karen, Akbari Ashley, Bandyopadhyay Amrita, Bedford Helen, Brophy Sinead, et al

Swansea University Authors: Ashley Akbari, Lucy Griffiths
Published in International Journal for Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences

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The Inverse Care Law programme: evaluating a population based intervention in primary care within deprived communities in Wales. / Caryn Cox, Leon May, William Watkins, Sarah Aitken, Sarah Thomas, et al

Swansea University Authors: Jiao Song, Ashley Akbari
Published in International Journal of Population Data Science (2018)
In collection: Faculty of Medicine, Health and Life Sciences

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A case study in distributed team science in research using electronic health records / Elizabeth Elliot, Andrew D Morris, Joannes J Kerssens, Simon Ellwood-Thompson

Swansea University Authors: Jiao Song, Ashley Akbari, Ronan Lyons
Published in International Journal of Population Data Science (2018)
In collection: Faculty of Medicine, Health and Life Sciences

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Using Residential Anonymous Linking Fields to Identify Vulnerable Populations in Administrative Data / Joseph Hollinghurst, Rich Fry, Ashley Akbari, Sarah Rodgers

Swansea University Authors: Joseph Hollinghurst, Rich Fry, Ashley Akbari, Sarah Rodgers
Published in International Journal of Population Data Science (2018)
In collection: Faculty of Medicine, Health and Life Sciences

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Using natural language processing to extract structured epilepsy data from unstructured clinic letters / Beata Fonferko-Shadrach, Arron Lacey, Ashley Akbari, Simon Ellwood-Thompson, David Ford, et al

Swansea University Authors: Beata Fonferko-Shadrach, Arron Lacey, Ashley Akbari, Simon Ellwood-Thompson, David Ford, Ronan Lyons, Mark Rees, Owen Pickrell
Published in International Journal of Population Data Science (2018)
In collection: Faculty of Medicine, Health and Life Sciences

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Analysis of factors associated with changing general practice in the first 14 years of life in Wales using linked cohort and primary care records: implications for using primary ca... / Ronan A Lyons, Helen Bedford, Mario Cortina-Borja, Karen S Tingay, Amrita Bandyopadhyay, et al

Swansea University Authors: Ashley Akbari, Lucy Griffiths
Published in International Journal of Population Data Science (2018)
In collection: Faculty of Medicine, Health and Life Sciences

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Patient-level data linkage across ambulance services and acute trusts: assessing the potential for improving patient care / Mary Halter, Holly Dorning, Michael Damiani, Sophie Clark

Swansea University Author: Alison Porter
Published in International Journal for Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences

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Thoughts and musings from the new International Population Data Linkage Network (IPDLN) Co-directors / William Ghali, Michael Schull

Swansea University Author: David Ford
Published in International Journal for Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences
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Obtaining structured clinical data from unstructured data using natural language processing software / Mike P Kerr

Swansea University Authors: Arron Lacey, Beata Fonferko-Shadrach, Ronan Lyons, David Ford, Mark Rees, Owen Pickrell
Published in International Journal of Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences

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Reusable, set-based selection algorithm for matched control groups / John W Gregory

Swansea University Authors: Daniel Thayer, Liv Kosnes, Damon Berridge, Martin Heaven, David Ford, Keith Lloyd, Ann John
Published in International Journal of Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences

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A UKSeRP for SAIL: striking a balance / Caroline Brooks, David Ford, Kerina Jones

Swansea University Authors: Caroline Brooks, David Ford, Kerina Jones
Published in International Journal for Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences

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Linking child travel routes and routine health data / Ronan Lyons, Sarah Rodgers, Amy Mizen

Swansea University Author: Rich Fry
Published in International Journal for Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences

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Geocoding routinely collected administrative data to measure access to alcohol outlets in Wales / David Fone, Jennifer Morgan, Scott Orford, Sarah Rodgers

Swansea University Author: Rich Fry
Published in International Journal for Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences

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The use of multi-sourced linked datasets in evaluating the Emergency Medical Retrieval and Transfer Service (EMRTS) CYMRU / Ronan A Lyons, Jane Lyons, David Rawlinson

Swansea University Author: Rich Fry
Published in International Journal for Population Data Science (2017)
In collection: Faculty of Medicine, Health and Life Sciences
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The Good, the Bad, the Clunky / Paul Jackson, Chris Dibben

Swansea University Authors: Kerina Jones, Sharon Heys, Karen Tingay
Published in International Journal of Population Data Science (2019)
In collection: Faculty of Medicine, Health and Life Sciences

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Format
80 Journal article see all ...
Author
43 Ashley Akbari 22 Ronan Lyons 17 David Ford 13 Lucy Griffiths 12 Kerina Jones 12 Rich Fry more ... 6 Jane Lyons 6 Rowena Griffiths 5 Alexandra Lee 5 Sinead Brophy 5 Laura North 5 Joseph Hollinghurst 5 Fatemeh Torabi 4 Rhodri Johnson 4 Sharon Heys 4 Simon Ellwood-Thompson 4 Gareth Davies 4 Amy Mizen 3 Mark Rees 3 Owen Pickrell 3 Gareth Stratton 3 Beata Fonferko-Shadrach 3 Helen Snooks 3 Caroline Brooks 3 Sarah Rodgers 3 Ann John 2 Jiao Song 2 Rod Middleton 2 Rhiannon Owen 2 Grace Bailey see all ... less ...
Faculty
78 Faculty of Medicine, Health and Life Sciences 1 Faculty of Humanities and Social Sciences 1 Faculty of Science and Engineering see all ...
School
71 Swansea University Medical School - Medicine 6 Swansea University Medical School - Health Data Science 1 Hilary Rodham Clinton School of Law 1 School of Engineering and Applied Sciences - Sport and Exercise Sciences 1 The Centre for Innovative Ageing see all ...
Year of Publication
1400 : 2026
1400
2026

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