Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Shang-Ming Zhou"'
Publikováno v:
JMIR Human Factors, Vol 9, Iss 1, p e31021 (2022)
BackgroundBig data research in the field of health sciences is hindered by a lack of agreement on how to identify and define different conditions and their medications. This means that researchers and health professionals often have different phenoty
Externí odkaz:
https://doaj.org/article/18cbc85afd5341258994cc313000832e
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 9, Pp 1-13 (2021)
A growing elderly population suffering from incurable, chronic conditions such as dementia present a continual strain on medical services due to mental impairment paired with high comorbidity resulting in increased hospitalization risk. The identific
Externí odkaz:
https://doaj.org/article/7970d48a29e14298a7c4ebe248c72b13
Autor:
Bruce Burnett, Shang-Ming Zhou, Sinead Brophy, Phil Davies, Paul Ellis, Jonathan Kennedy, Amrita Bandyopadhyay, Michael Parker, Ronan A. Lyons
Publikováno v:
Diagnostics, Vol 13, Iss 2, p 301 (2023)
The inclusion of machine-learning-derived models in systematic reviews of risk prediction models for colorectal cancer is rare. Whilst such reviews have highlighted methodological issues and limited performance of the models included, it is unclear w
Externí odkaz:
https://doaj.org/article/31a68e79bcf844b79b3350c5cf7906da
Publikováno v:
International Journal of Population Data Science, Vol 6, Iss 1 (2021)
Introduction Electronic health records (EHR) are linked together to examine disease history and to undertake research into the causes and outcomes of disease. However, the process of constructing algorithms for phenotyping (e.g., identifying disease
Externí odkaz:
https://doaj.org/article/ed61ade0a19d42008607db57c769294c
Publikováno v:
Journal of Personalized Medicine, Vol 12, Iss 1, p 86 (2022)
(1) Background: This study investigates influential risk factors for predicting 30-day readmission to hospital for Campylobacter infections (CI). (2) Methods: We linked general practitioner and hospital admission records of 13,006 patients with CI in
Externí odkaz:
https://doaj.org/article/238c3add27274cf9ae7959246fe56b6a
Autor:
Fabiola Fernández-Gutiérrez, Jonathan I. Kennedy, Roxanne Cooksey, Mark Atkinson, Ernest Choy, Sinead Brophy, Lin Huo, Shang-Ming Zhou
Publikováno v:
Diagnostics, Vol 11, Iss 10, p 1908 (2021)
(1) Background: We aimed to develop a transparent machine-learning (ML) framework to automatically identify patients with a condition from electronic health records (EHRs) via a parsimonious set of features. (2) Methods: We linked multiple sources of
Externí odkaz:
https://doaj.org/article/416b45ceb3cc456caea9c675d0f831f7
Autor:
Fabiola Fernández-Gutiérrez, Jonathan Kennedy, Roxanne Cooksey, Mark Atkinson, Ernest Choy, Sinead Brophy, Shang-Ming Zhou
Publikováno v:
International Journal of Population Data Science, Vol 1, Iss 1 (2017)
ABSTRACT Objectives 1) To develop a fully data-driven framework for automatically identifying patients with a condition from routine electronic primary care records; 2) to identify informative codes (risk factors) of arthropathy conditions in primar
Externí odkaz:
https://doaj.org/article/aa73d81d36a143fcbc8f1ebf20c65d87
Publikováno v:
International Journal of Population Data Science, Vol 1, Iss 1 (2017)
ABSTRACT Objectives Though an effective drug to treat heart failure and heart rhythm abnormalities, digoxin has side effects, such as confusion. Adverse drug events (ADEs) are major public health issues, but signal detection of ADEs is challenging
Externí odkaz:
https://doaj.org/article/1812b342c8974b51863959ae3e9e02b5
Autor:
Shang-Ming Zhou, Fabiola Fernandez-Gutierrez, Jonathan Kennedy, Roxanne Cooksey, Mark Atkinson, Spiros Denaxas, Stefan Siebert, William G Dixon, Terence W O'Neill, Ernest Choy, Cathie Sudlow, UK Biobank Follow-up and Outcomes Group, Sinead Brophy
Publikováno v:
PLoS ONE, Vol 11, Iss 5, p e0154515 (2016)
OBJECTIVES:1) To use data-driven method to examine clinical codes (risk factors) of a medical condition in primary care electronic health records (EHRs) that can accurately predict a diagnosis of the condition in secondary care EHRs. 2) To develop an
Externí odkaz:
https://doaj.org/article/d22f25a17f88446294ac4db9e846f671
Autor:
Shang-Ming Zhou, Ronan A Lyons, Owen G Bodger, Ann John, Huw Brunt, Kerina Jones, Mike B Gravenor, Sinead Brophy
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e113592 (2014)
Although inequalities in health and socioeconomic status have an important influence on childhood educational performance, the interactions between these multiple factors relating to variation in educational outcomes at micro-level is unknown, and ho
Externí odkaz:
https://doaj.org/article/701adc39b9c54c869b8ce3be569b5e58