Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Alan Hales"'
Publikováno v:
JGH Open, Vol 5, Iss 5, Pp 549-557 (2021)
Abstract Background and Aim Liver disease mortality rates continue to rise due to late diagnosis. We need noninvasive tests to be made available in the community that can identify patients at risk from a serious liver‐related event (SLE). We examin
Externí odkaz:
https://doaj.org/article/e8b7095e669b4b049b6ae25f565d7477
Autor:
Beth Stuart, Michael Moore, Nick Sheron, Fangzhong Su, David Cable, Theresa Hydes, Miranda Kim, Colin Newell, Alan Hales
Publikováno v:
BMJ Open, Vol 11, Iss 2 (2021)
Objectives Most patients are unaware they have liver cirrhosis until they present with a decompensating event. We therefore aimed to develop and validate an algorithm to predict advanced liver disease (AdvLD) using data widely available in primary ca
Externí odkaz:
https://doaj.org/article/adaf112d8ad94447a8a49c05a203a690
Publikováno v:
JGH Open: An Open Access Journal of Gastroenterology and Hepatology
JGH Open, Vol 5, Iss 5, Pp 549-557 (2021)
JGH Open, Vol 5, Iss 5, Pp 549-557 (2021)
Background and Aim Liver disease mortality rates continue to rise due to late diagnosis. We need noninvasive tests to be made available in the community that can identify patients at risk from a serious liver‐related event (SLE). We examine the per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2aebecd17ef5717131e3021b289f212c
http://europepmc.org/articles/PMC8114996
http://europepmc.org/articles/PMC8114996
Publikováno v:
British Journal of Surgery. 108
Background Breast neoplasia displays complex patterns of whole-of-life disease progression, which are difficult to study using legacy data systems. Our timeline- and episode-structured breast cancer data set of 20,000 records allows direct visualisat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e5a8eee04a580080c2a65f1dae47c97
https://doi.org/10.1093/bjs/znab362.069
https://doi.org/10.1093/bjs/znab362.069
Publikováno v:
British Journal of Surgery. 108
Background Many surgeons work within multidisciplinary cancer teams. The Somerset Cancer Register (SCR) is a national reporting system for service performance which is in use in more than 100 NHS Trusts. However, the core system has not yet been opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc229e844cd9e006c69b4be61ab0b458
https://doi.org/10.1093/bjs/znab312.112
https://doi.org/10.1093/bjs/znab312.112
Autor:
Michael Moore, Nick Sheron, Fangzhong Su, Alan Hales, Theresa Hydes, Colin Newell, Miranda Kim, David Cable, Beth Stuart
Publikováno v:
BMJ Open, Vol 11, Iss 2 (2021)
BMJ Open
BMJ Open
ObjectivesMost patients are unaware they have liver cirrhosis until they present with a decompensating event. We therefore aimed to develop and validate an algorithm to predict advanced liver disease (AdvLD) using data widely available in primary car
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb945cd70a836c26d4972f8b79831e4a
https://bmjopen.bmj.com/content/11/2/e044952.full
https://bmjopen.bmj.com/content/11/2/e044952.full
Publikováno v:
Journal of clinical pathology. 75(4)
AimsCellular pathology (‘e-pathology’) record sets are a rich data resource with which to populate the electronic patient record (EPR). Accessible reports, even decades old, can be of great value in contemporary clinical decision making and as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::633b15c70e91b94d6eaddbe653daa2fa
https://pubmed.ncbi.nlm.nih.gov/33593796
https://pubmed.ncbi.nlm.nih.gov/33593796
Publikováno v:
Information Technology in Bio-and Medical Informatics ISBN: 9783319642642
ITBAM
ITBAM
This research presents a methodology for health data analytics through a case study for modelling cancer patient records. Timeline-structured clinical data systems represent a new approach to the understanding of the relationship between clinical act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be0ee76ef0e26e1debc46bdcb7983e89
https://doi.org/10.1007/978-3-319-64265-9_4
https://doi.org/10.1007/978-3-319-64265-9_4
Publikováno v:
ICDE Workshops
Data Mining has been used in the healthcare domain for diagnosis and treatment analysis, resource management and fraud detection. It brings a set of tools and techniques that can be applied to large-scale patient data to discover underlying patterns
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8f6b20f4b928326bd541d59a62593bc
https://doi.org/10.1109/icdew.2016.7495618
https://doi.org/10.1109/icdew.2016.7495618
Autor:
David A. Rew, Jing Lu, Alex Mills-Mullett, Christian Wette, Malcolm Keech, Christian Fröhlingsdorf, Alan Hales
Publikováno v:
Information Technology in Bio-and Medical Informatics ISBN: 9783319227405
ITBAM
ITBAM
This paper presents a case study of using data mining techniques in the analysis of diagnosis and treatment events related to Breast Cancer disease. Data from over 16,000 patients has been pre-processed and several data mining techniques have been im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dd12995c2f66a8629755fbf5b7b2db7
https://doi.org/10.1007/978-3-319-22741-2_6
https://doi.org/10.1007/978-3-319-22741-2_6