Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Shao Fen Liang"'
Publikováno v:
ICHI
In the UK primary care research, defining a full set of medical codes for data analytics is a laborious and time-intensive task, due to the sizes and variety of coding systems in use in the UK. Our work aims to facilitate this process by developing a
Autor:
Sean Beevers, Benjamin Barratt, Brendan Delaney, Frank J. Kelly, Uy Hoang, Yevgeniya Kovalchuk, Charles D.A. Wolfe, Anastassia Spiridou, Shao Fen Liang, Siobhan Crichton
Publikováno v:
Crichton, S, Barratt, B, Spiridou, A, Hoang, U, Liang, S F, Kovalchuk, Y, Beevers, S D, Kelly, F J, Delaney, B & Wolfe, C DA 2016, ' Associations between exhaust and non-exhaust particulate matter and stroke incidence by stroke subtype in South London ', Science of the Total Environment, vol. 568, pp. 278-284 . https://doi.org/10.1016/j.scitotenv.2016.06.009
Background: Airborne particulate matter (PM) consists of particles from diverse sources, including vehicle exhausts. Associations between short-term PM changes and stroke incidence have been shown. Cumulative exposures over several months, or years,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ab7bfa92b25f456f1d1f303ccbd2e65
https://kclpure.kcl.ac.uk/en/publications/425baed2-36be-4160-a11c-0c100be72b0b
https://kclpure.kcl.ac.uk/en/publications/425baed2-36be-4160-a11c-0c100be72b0b
Publikováno v:
The Open Information Systems Journal. 3:1-8
SEMIOTIKS aims to utilise online information to support the crucial decision–making of those military and civilian agencies involved in the humanitarian removal of landmines in areas of conflict throughout the world. An analysis of the type of info
Publikováno v:
WiMob
Pervasive computing applications bring together heterogeneous network-connected devices, services and resources to enable context-aware information integration. The increasing adoption of pervasive computing technology in the healthcare domain offers
Publikováno v:
International Journal of Advanced Computer Science and Applications. 4
Ontology development is a non-trivial task requiring expertise in the chosen ontological language. We propose a method for making the content of ontologies more transparent by presenting, through the use of natural language generation, naturalistic d
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783642222177
AIME
AIME
SNOMED is a large description logic based terminology for recording in electronic health records. Often, neither the labels nor the description logic definitions are easy for users to understand. Furthermore, information is increasingly being recorde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f674e39389c8f6d6912ba6c6158387b
https://doi.org/10.1007/978-3-642-22218-4_43
https://doi.org/10.1007/978-3-642-22218-4_43
The work described here initially formed part of a triangulation exercise to establish the effectiveness of the Query Term Order algorithm. The methodology produced subsequently proved to be a reliable indicator of quality for summarising English web
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c8d00b7222fc994ff4c40b11513785f
https://eprints.soton.ac.uk/264982/
https://eprints.soton.ac.uk/264982/
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540333470
ECIR
ECIR
The aim of our research is to produce and assess short summaries to aid users' relevance judgements, for example for a search engine result page. In this paper we present our new metric for measuring summary quality based on representativeness and ju
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43dd7769907451bb9a6bac579ad23ff2
https://doi.org/10.1007/11735106_10
https://doi.org/10.1007/11735106_10
Publikováno v:
SIGIR
We report on two experiments performed to test the importance of Term Order in automatic summarisation. Experiment one was undertaken as part of DUC 2004 to which three systems were submitted, each with a different summarisation approach. The system
Autor:
Lalmas, Mounia, MacFarlane, Andy, Rüger, Stefan, Tombros, Anastasios, Tsikrika, Theodora, Yavlinsky, Alexei, Shao Fen Liang, Devlin, Siobhan, Tait, John
Publikováno v:
Advances in Information Retrieval (9783540333470); 2006, p96-106, 11p