Hasil Pencarian - David V Ford

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  1. 1
    Exploring barriers and solutions in advancing cross-centre population data science

    Exploring barriers and solutions in advancing cross-centre population data science oleh Kerina H Jones, Sharon M Heys, Helen Daniels, David V Ford

    Diterbitkan 2019-08-01
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  2. 2
    Reusable, set-based selection algorithm for matched control groups

    Reusable, set-based selection algorithm for matched control groups oleh Daniel Thayer, John W Gregory, Liv Kosnes, Damon Berridge, Martin L Heaven, David V Ford, Keith Lloyd, Ann John

    Diterbitkan 2017-04-01
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  3. 3
    Obtaining structured clinical data from unstructured data using natural language processing software

    Obtaining structured clinical data from unstructured data using natural language processing software oleh Arron S Lacey, Beata Fonferko-Shadrach, Ronan A Lyons, Mike P Kerr, David V Ford, Mark I Rees, Owen W Pickrell

    Diterbitkan 2017-04-01
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  4. 4
    Anxiety and depression among children and young people involved in family justice court proceedings: longitudinal national data linkage study

    Anxiety and depression among children and young people involved in family justice court proceedings: longitudinal national data linkage study oleh Lucy Jane Griffiths, Joanna Mcgregor, Theodora Pouliou, Rhodri D. Johnson, Karen Broadhurst, Linda Cusworth, Laura North, David V. Ford, Ann John

    Diterbitkan 2022-03-01
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  5. 5
    A large-scale study of anxiety and depression in people with Multiple Sclerosis: a survey via the web portal of the UK MS Register.

    A large-scale study of anxiety and depression in people with Multiple Sclerosis: a survey via the web portal of the UK MS Register. oleh Kerina H Jones, David V Ford, Philip A Jones, Ann John, Rodden M Middleton, Hazel Lockhart-Jones, Lisa A Osborne, J Gareth Noble

    Diterbitkan 2012-01-01
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  6. 6
    How people with multiple sclerosis rate their quality of life: an EQ-5D survey via the UK MS register.

    How people with multiple sclerosis rate their quality of life: an EQ-5D survey via the UK MS register. oleh Kerina H Jones, David V Ford, Philip A Jones, Ann John, Rodden M Middleton, Hazel Lockhart-Jones, Jeffrey Peng, Lisa A Osborne, J Gareth Noble

    Diterbitkan 2013-01-01
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  7. 7
    The physical and psychological impact of multiple sclerosis using the MSIS-29 via the web portal of the UK MS Register.

    The physical and psychological impact of multiple sclerosis using the MSIS-29 via the web portal of the UK MS Register. oleh Kerina H Jones, David V Ford, Philip A Jones, Ann John, Rodden M Middleton, Hazel Lockhart-Jones, Jeffrey Peng, Lisa A Osborne, J Gareth Noble

    Diterbitkan 2013-01-01
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  8. 8
    Physical disability, anxiety and depression in people with MS: an internet-based survey via the UK MS Register.

    Physical disability, anxiety and depression in people with MS: an internet-based survey via the UK MS Register. oleh Kerina H Jones, Philip A Jones, Rodden M Middleton, David V Ford, Katie Tuite-Dalton, Hazel Lockhart-Jones, Jeffrey Peng, Ronan A Lyons, Ann John, J Gareth Noble

    Diterbitkan 2014-01-01
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  9. 9
    Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters

    Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters oleh Arron Lacey, Jane Lyons, Ashley Akbari, Samantha L Turner, Angharad M Walters, Beata Fonferko-Shadrach, Owen Pickrell, Mark I Rees, Ronan A Lyons, David V Ford, Rod M Middleton

    Diterbitkan 2017-04-01
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  10. 10
    Data Resource: population level family justice administrative data with opportunities for data linkage

    Data Resource: population level family justice administrative data with opportunities for data linkage oleh Rhodri David Johnson, David V Ford, Karen Broadhurst, Linda Cusworth, Kerina Jones, Ashley Akbari, Stuart Bedston, Bachar Alrouh, Stefanie Doebler, Alexandra Lee, Jon Smart, Simon Thompson, Liz Trinder, Lucy J Griffiths

    Diterbitkan 2020-06-01
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  11. 11
    United Kingdom Research study into Ethnicity And COVID-19 outcomes in Healthcare workers (UK-REACH): a retrospective cohort study using linked routinely collected data, study protocol

    United Kingdom Research study into Ethnicity And COVID-19 outcomes in Healthcare workers (UK-REACH): a retrospective cohort study using linked routinely collected data, study proto... oleh Laura J Gray, David V Ford, Keith R Abrams, David McAllister, Laura Nellums, Catherine John, Chris Orton, Christopher A Martin, Lucy Teece, Carl Melbourne, Ibrahim Akubakar, Kamlesh Kunti, Robert Free

    Diterbitkan 2021-06-01
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