Computer-Aided Prognosis Based on Temporal Dependencies

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原文链接

NETL
IEEE

外文摘要：Data analysis and mining， through computer-based systems， achieved particular interest in the area of healthcare in the last years， where it has been shown to produce high levels of accuracy。 The variety of available techniques is nowadays applied interchangeably with success on almost every healthcare domain， but mostly for diagnosis。 Indeed， the results achieved on prognosis through the same techniques are much more modest。 In this paper， we argue that the difference of success on diagnosis and prognosis， by mining techniques， is mainly due to the inadequacy of those techniques for dealing with the inherent temporal information attached to clinical data。 Moreover， we discuss a new approach to address this issue， independent of the domain， and present some preliminary results on two different datasets。

外文关键词：

Computational modelingData miningEstimationHidden Markov modelsMedical servicesPredictive modelsPrognostics and health managementclassificationprognosistemporal dependencies

作者：

Cardoso, Daniel、Antunes, Claudia

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会议名称：

IEEE International symposium on computer-based medical systems

会议地点：

New York, NY(US)

会议母体文献：

2014 IEEE 27th International Symposium on Computer-Based Medical Systems

页码：

549-550

出版时间：

2014

DOI：

10.1109/CBMS.2014.132