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BMC Musculoskeletal Disorders
|
December 12, 2012
The information needs of people living with ankylosing spondylitis: a questionnaire survey
Roxanne Cooksey, Sinead Brophy, Muhammad Jami Husain, et al.
Vaccine
|
February 18, 2014
Does the HPV vaccination programme have implications for cervical screening programmes in the UK?
Helen Beer, Sam Hibbitts, Sinead Brophy, et al.
Journal of Personalized Medicine
|
January 21, 2022
Predicting Hospital Readmission for Campylobacteriosis from Electronic Health Records: A Machine Learning and Text Mining Perspective
Shang-Ming Zhou, Ronan A Lyons, Muhammad A Rahman, et al.
BMC Public Health
|
September 7, 2013
Mothers' perspectives on the delivery of childhood injury messages: a qualitative study from the growing up in Wales, environments for healthy living study (EHL)
Ashrafunnesa Khanom, Rebecca A Hill, Sinead Brophy, et al.
The Journal of Rheumatology
|
September 1, 2004
Concordance of disease severity among family members with ankylosing spondylitis?
Sinead Brophy, Sarah Hickey, Ajit Menon, et al.
Seminars in Arthritis and Rheumatism
|
January 29, 2013
The effect of physical activity and motivation on function in ankylosing spondylitis: a cohort study
Sinead Brophy, Roxanne Cooksey, Helen Davies, et al.
Plos One
|
May 24, 2022
Population birth outcomes in 2020 and experiences of expectant mothers during the COVID-19 pandemic: A 'born in Wales' mixed methods study using routine data
Hope Jones, Mike Seaborne, Laura Cowley, et al.
Rheumatology (Oxford, England)
|
March 25, 2015
Severe flare as a predictor of poor outcome in ankylosing spondylitis: a cohort study using questionnaire and routine data linkage
Roxanne Cooksey, Sinead Brophy, Michael Dennis, et al.
Plos One
|
March 31, 2023
Predicting a diagnosis of ankylosing spondylitis using primary care health records-A machine learning approach
Jonathan Kennedy, Natasha Kennedy, Roxanne Cooksey, et al.
BMC Research Notes
|
May 1, 2015
Headteachers' prior beliefs on child health and their engagement in school based health interventions: a qualitative study
Charlotte Todd, Danielle Christian, Helen Davies, et al.
Page
of 15
Search research articles
Search
Showing results (41-50 of 146) with videos related to
Sort By:
Page
of 15
BMC Musculoskeletal Disorders
|
December 12, 2012
The information needs of people living with ankylosing spondylitis: a questionnaire survey
Roxanne Cooksey, Sinead Brophy, Muhammad Jami Husain, et al.
Vaccine
|
February 18, 2014
Does the HPV vaccination programme have implications for cervical screening programmes in the UK?
Helen Beer, Sam Hibbitts, Sinead Brophy, et al.
Journal of Personalized Medicine
|
January 21, 2022
Predicting Hospital Readmission for Campylobacteriosis from Electronic Health Records: A Machine Learning and Text Mining Perspective
Shang-Ming Zhou, Ronan A Lyons, Muhammad A Rahman, et al.
BMC Public Health
|
September 7, 2013
Mothers' perspectives on the delivery of childhood injury messages: a qualitative study from the growing up in Wales, environments for healthy living study (EHL)
Ashrafunnesa Khanom, Rebecca A Hill, Sinead Brophy, et al.
The Journal of Rheumatology
|
September 1, 2004
Concordance of disease severity among family members with ankylosing spondylitis?
Sinead Brophy, Sarah Hickey, Ajit Menon, et al.
Seminars in Arthritis and Rheumatism
|
January 29, 2013
The effect of physical activity and motivation on function in ankylosing spondylitis: a cohort study
Sinead Brophy, Roxanne Cooksey, Helen Davies, et al.
Plos One
|
May 24, 2022
Population birth outcomes in 2020 and experiences of expectant mothers during the COVID-19 pandemic: A 'born in Wales' mixed methods study using routine data
Hope Jones, Mike Seaborne, Laura Cowley, et al.
Rheumatology (Oxford, England)
|
March 25, 2015
Severe flare as a predictor of poor outcome in ankylosing spondylitis: a cohort study using questionnaire and routine data linkage
Roxanne Cooksey, Sinead Brophy, Michael Dennis, et al.
Plos One
|
March 31, 2023
Predicting a diagnosis of ankylosing spondylitis using primary care health records-A machine learning approach
Jonathan Kennedy, Natasha Kennedy, Roxanne Cooksey, et al.
BMC Research Notes
|
May 1, 2015
Headteachers' prior beliefs on child health and their engagement in school based health interventions: a qualitative study
Charlotte Todd, Danielle Christian, Helen Davies, et al.
Page
of 15