Exploring novel features and decision rules to identify cardiovascular autonomic neuropathy using a Hybrid of Wrapper-Filter based feature selection

Shamsul Huda, Herbert Jelinek, Biplob Ray, Andrew Stranieri, John Yearwood

Research output: Book chapter/Published conference paperConference paperpeer-review

13 Citations (Scopus)

Abstract

Cardiovascular autonomic neuropathy (CAN) is one of the important causes of mortality among diabetes patients.Statistics shows that more than 22% of people with type 2diabetes mellitus suffer from CAN and which in turn leads to cardiovascular disease (heart attack, stroke). Therefore early detection of CAN could reduce the mortality. Traditional method for detection of CAN uses Ewing's algorithm where five noninvasive cardiovascular tests are used. Often for clinician, it isdifficult to collect data from for the Ewing Battery patients dueto onerous test conditions. In this paper, we propose a hybrid of wrapper-filter approach to find novel features from patients' ECG records and then generate decision rules for the new features for easier detection of CAN. In the proposed feature selection, a hybrid of filter (Maximum Relevance, MR) and wrapper (Artificial Neural Net Input Gain Mea surementApproximation ANNIGMA) approaches (MR-ANNIGMA)would be used. The combined heuristics in the hybrid MRANNIGMA takes the advantages of the complementary properties of the both filter and wrapper heuristics and can find significant features. The selected features set are used to generatea new set of rules for detection of CAN. Experiments on real patient records shows that proposed method finds a smaller set of features for detection of CAN than traditional method which are clinically significant and could lead to an easier way to diagnose CAN.
Original languageEnglish
Title of host publicationSixth ISSNIP 2010
EditorsP. Corke
Place of PublicationBrisbane
PublisherIEEE
Pages297-302
Number of pages6
Publication statusPublished - 2010
EventIEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) - Brisbane, QLD, Australia
Duration: 07 Dec 201010 Dec 2010

Conference

ConferenceIEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
Country/TerritoryAustralia
Period07/12/1010/12/10

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