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Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models.

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Bibliographic Details
Title: Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models.
Authors: Prabhakar, Sunil Kumar1, Won, Dong-Ok1, dongok.won@hallym.ac.kr
Source: Expert Systems with Applications; Jul2023, Vol. 221, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 162538321
AccessLevel: 2
PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=162538321
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.eswa.2023.119720
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models.
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            NameFull: Prabhakar, Sunil Kumar
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            NameFull: Won, Dong-Ok
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            – D: 01
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              Text: Jul2023
              Type: published
              Y: 2023
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