Construction and evaluation of probabilistic classifiers to detect acute myocardial infarction from multiple cardiac markers

Bibliographic Details
Main Author:	Wilson, P. C.
Published:	Queen's University Belfast 2004
Subjects:	616.1237075
Online Access:	http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411812

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spelling	ndltd-bl.uk-oai-ethos.bl.uk-4118122015-03-19T05:46:04ZConstruction and evaluation of probabilistic classifiers to detect acute myocardial infarction from multiple cardiac markersWilson, P. C.2004616.1237075Queen's University Belfasthttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411812Electronic Thesis or Dissertation
collection	NDLTD
sources	NDLTD
topic	616.1237075
spellingShingle	616.1237075 Wilson, P. C. Construction and evaluation of probabilistic classifiers to detect acute myocardial infarction from multiple cardiac markers
author	Wilson, P. C.
author_facet	Wilson, P. C.
author_sort	Wilson, P. C.
title	Construction and evaluation of probabilistic classifiers to detect acute myocardial infarction from multiple cardiac markers
title_short	Construction and evaluation of probabilistic classifiers to detect acute myocardial infarction from multiple cardiac markers
title_full	Construction and evaluation of probabilistic classifiers to detect acute myocardial infarction from multiple cardiac markers
title_fullStr	Construction and evaluation of probabilistic classifiers to detect acute myocardial infarction from multiple cardiac markers
title_full_unstemmed	Construction and evaluation of probabilistic classifiers to detect acute myocardial infarction from multiple cardiac markers
title_sort	construction and evaluation of probabilistic classifiers to detect acute myocardial infarction from multiple cardiac markers
publisher	Queen's University Belfast
publishDate	2004
url	http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411812
work_keys_str_mv	AT wilsonpc constructionandevaluationofprobabilisticclassifierstodetectacutemyocardialinfarctionfrommultiplecardiacmarkers
_version_	1716743610172440576

Construction and evaluation of probabilistic classifiers to detect acute myocardial infarction from multiple cardiac markers

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