Sökning: L773:1879 8365 OR L773:0926 9630 OR L773:9781614999225 >
Structural Risk Eva...
Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography
-
- Ghareh Baghi, Arash (författare)
- Mälardalens högskola,Inbyggda system
-
- Babic, Ankica, 1960- (författare)
- Linköpings universitet,Avdelningen för medicinsk teknik,Tekniska fakulteten
-
- Gharehbaghi, Arash (författare)
- School of Innovation, Design and Technology, Mälardalen University, Västerås, Sweden
-
(creator_code:org_t)
- IOS Press, 2018
- 2018
- Engelska.
-
Ingår i: Studies in Health Technology and Informatics. - : IOS Press. - 0926-9630 .- 1879-8365. - 9781614998792 - 9781614998808 ; 251, s. 157-160
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.3...
-
https://urn.kb.se/re...
-
visa färre...
Abstract
Ämnesord
Stäng
- This paper presents a method for exploring structural risk of any artificial intelligence-based method in bioinformatics, the A-Test method. This method provides a way to not only quantitate the structural risk associated with a classification method, but provides a graphical representation to compare the learning capacity of different classification methods. Two different methods, Deep Time Growing Neural Network (DTGNN) and Hidden Markov Model (HMM), are selected as two classification methods for comparison. Time series of heart sound signals are employed as the case study where the classifiers are trained to learn the disease-related changes. Results showed that the DTGNN offers a superior performance both in terms of the capacity and the structural risk. The A-Test method can be especially employed in comparing the learning methods with small data size.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
Nyckelord
- A-Test method
- deep time growing neural network
- heart sounds
- intelligent phonocardiography
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas