A pilot study to integrate HIV drug resistance gold standard interpretation algorithms using neural networks

Published Article === There are several HIV drug resistant interpretation algorithms which produce different resistance measures even if applied to the same resistance profile. This discrepancy leads to confusion in the mind of the physician when choosing the best ARV therapy.

Bibliographic Details
Main Authors:	Singh, Y., Mars, M.
Other Authors:	Central University of Technology, Free State, Bloemfontein
Format:	Others
Language:	en_US
Published:	Journal for New Generation Sciences, Vol 11, Issue 2: Central University of Technology, Free State, Bloemfontein 2015
Subjects:	Machine learning Artificial intelligence Neural networks HIV drug resistance
Online Access:	http://hdl.handle.net/11462/639

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spelling	ndltd-netd.ac.za-oai-union.ndltd.org-cut-oai-ir.cut.ac.za-11462-6392016-03-16T03:59:04Z A pilot study to integrate HIV drug resistance gold standard interpretation algorithms using neural networks Singh, Y. Mars, M. Central University of Technology, Free State, Bloemfontein Machine learning Artificial intelligence Neural networks HIV drug resistance Published Article There are several HIV drug resistant interpretation algorithms which produce different resistance measures even if applied to the same resistance profile. This discrepancy leads to confusion in the mind of the physician when choosing the best ARV therapy. 2015-10-05T10:26:53Z 2015-10-05T10:26:53Z 2013 2013 Article 16844998 http://hdl.handle.net/11462/639 en_US Journal for New Generation Sciences;Vol 11, Issue 2 Central University of Technology, Free State, Bloemfontein 279 496 bytes, 1 file Application/PDF Journal for New Generation Sciences, Vol 11, Issue 2: Central University of Technology, Free State, Bloemfontein
collection	NDLTD
language	en_US
format	Others
sources	NDLTD
topic	Machine learning Artificial intelligence Neural networks HIV drug resistance
spellingShingle	Machine learning Artificial intelligence Neural networks HIV drug resistance Singh, Y. Mars, M. A pilot study to integrate HIV drug resistance gold standard interpretation algorithms using neural networks
description	Published Article === There are several HIV drug resistant interpretation algorithms which produce different resistance measures even if applied to the same resistance profile. This discrepancy leads to confusion in the mind of the physician when choosing the best ARV therapy.
author2	Central University of Technology, Free State, Bloemfontein
author_facet	Central University of Technology, Free State, Bloemfontein Singh, Y. Mars, M.
author	Singh, Y. Mars, M.
author_sort	Singh, Y.
title	A pilot study to integrate HIV drug resistance gold standard interpretation algorithms using neural networks
title_short	A pilot study to integrate HIV drug resistance gold standard interpretation algorithms using neural networks
title_full	A pilot study to integrate HIV drug resistance gold standard interpretation algorithms using neural networks
title_fullStr	A pilot study to integrate HIV drug resistance gold standard interpretation algorithms using neural networks
title_full_unstemmed	A pilot study to integrate HIV drug resistance gold standard interpretation algorithms using neural networks
title_sort	pilot study to integrate hiv drug resistance gold standard interpretation algorithms using neural networks
publisher	Journal for New Generation Sciences, Vol 11, Issue 2: Central University of Technology, Free State, Bloemfontein
publishDate	2015
url	http://hdl.handle.net/11462/639
work_keys_str_mv	AT singhy apilotstudytointegratehivdrugresistancegoldstandardinterpretationalgorithmsusingneuralnetworks AT marsm apilotstudytointegratehivdrugresistancegoldstandardinterpretationalgorithmsusingneuralnetworks AT singhy pilotstudytointegratehivdrugresistancegoldstandardinterpretationalgorithmsusingneuralnetworks AT marsm pilotstudytointegratehivdrugresistancegoldstandardinterpretationalgorithmsusingneuralnetworks
_version_	1718204717183533056

A pilot study to integrate HIV drug resistance gold standard interpretation algorithms using neural networks

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