Empirical approaches to the application of mathematical techniques in health technologies

Shannon, AG; Nguyen, HT

Empirical approaches to the application of mathematical techniques in health technologies

Shannon, AG

Nguyen, HT

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Publication Type:: Journal Article
Citation:: International Journal Bioautomation, 2013, 17 (3), pp. 125 - 150
Issue Date:: 2013-11-20

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Field	Value	Language
dc.contributor.author	Shannon, AG https://orcid.org/0000-0003-0116-0666	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.date.issued	2013-11-20	en_US
dc.identifier.citation	International Journal Bioautomation, 2013, 17 (3), pp. 125 - 150	en_US
dc.identifier.issn	1314-1902	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116781
dc.description.abstract	Mathematical modeling of ageing is built in this paper around research and development activities in cooperation with pharmaceutical companies and hospitals. The interaction of "dirty data" with appropriate mathematical techniques is exemplified mainly with applications to health technologies in endocrinology and oncology. The emphasis is more on old techniques in new situations than on new techniques, though there are references to some novel approaches to modeling.	en_US
dc.relation.ispartof	International Journal Bioautomation	en_US
dc.title	Empirical approaches to the application of mathematical techniques in health technologies	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	17	en_US
utslib.for	0802 Computation Theory and Mathematics	en_US
utslib.for	090303 Biomedical Instrumentation	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	17	en_US

Abstract:

Mathematical modeling of ageing is built in this paper around research and development activities in cooperation with pharmaceutical companies and hospitals. The interaction of "dirty data" with appropriate mathematical techniques is exemplified mainly with applications to health technologies in endocrinology and oncology. The emphasis is more on old techniques in new situations than on new techniques, though there are references to some novel approaches to modeling.

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http://hdl.handle.net/10453/116781