AI for public health: Self-screening for eye diseases

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/1723

Full metadata record

DC Field	Value	Language
dc.contributor.author	Liu, X	-
dc.contributor.author	Cheng, G	-
dc.contributor.author	Wu, J	-
dc.date.accessioned	2008-02-28T11:51:15Z	-
dc.date.available	2008-02-28T11:51:15Z	-
dc.date.issued	1998	-
dc.identifier.citation	IEEE Intelligent Systems, 13(5): 28-35, Sept 1998	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/1723	-
dc.description.abstract	A software-based visual-field testing (perimetry) system is described which incorporates several AI components, including machine learning, an intelligent user interface and pattern discovery. This system has been successfully used for self-screening in several different public environments	en
dc.format.extent	1380508 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.subject	Eye	en
dc.subject	Health care	-
dc.subject	Learning (artificial intelligence)	-
dc.subject	Medical diagnostic computing	-
dc.subject	Medical expert systems	-
dc.subject	Pattern recognition	-
dc.subject	Testing	-
dc.subject	User interfaces	-
dc.subject	Vision defects	-
dc.title	AI for public health: Self-screening for eye diseases	en
dc.type	Research Paper	en
dc.identifier.doi	http://dx.doi.org/10.1109/5254.722349	-
Appears in Collections:	Computer Science Dept of Computer Science Research Papers

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