Mathematical contributions to the study of Diabetes Mellitus

Shannon, AG

Mathematical contributions to the study of Diabetes Mellitus

Shannon, AG

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Publication Type:: Journal Article
Citation:: International Journal Bioautomation, 2017, 21 (3), pp. 261 - 268
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Shannon, AG https://orcid.org/0000-0003-0116-0666	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	International Journal Bioautomation, 2017, 21 (3), pp. 261 - 268	en_US
dc.identifier.issn	1314-1902	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125124
dc.description.abstract	© 2017 by the authors. The purpose of the studies outlined in this paper is to describe some indicative and non-standard, but not exhaustive, quantitative contributions to the collection of diseases within the Diabetes Mellitus (DM) spectrum. While the paper has implications for bioinformatics related to DM, the paper is broader than that; it is more about DM-related bioprocesses illuminated by bioinformatics than about the bioinformatics per se. In effect it is an argument against being locked into one particular paradigm in the laudable study of this complicated set of diseases which increasingly dominate public health budgets, not to mention the lives of the patients with DM and their families.	en_US
dc.relation.ispartof	International Journal Bioautomation	en_US
dc.title	Mathematical contributions to the study of Diabetes Mellitus	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	21	en_US
utslib.for	0102 Applied Mathematics	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
utslib.copyright.status	open_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	21	en_US

Abstract:

© 2017 by the authors. The purpose of the studies outlined in this paper is to describe some indicative and non-standard, but not exhaustive, quantitative contributions to the collection of diseases within the Diabetes Mellitus (DM) spectrum. While the paper has implications for bioinformatics related to DM, the paper is broader than that; it is more about DM-related bioprocesses illuminated by bioinformatics than about the bioinformatics per se. In effect it is an argument against being locked into one particular paradigm in the laudable study of this complicated set of diseases which increasingly dominate public health budgets, not to mention the lives of the patients with DM and their families.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/125124