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A two-stage variable selection and classification approach for Parkinson’s disease detection by using voice recording replications.

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Title: A two-stage variable selection and classification approach for Parkinson’s disease detection by using voice recording replications.
Authors: Naranjo, Lizbeth1, lizbethna@ciencias.unam.mx, Pérez, Carlos J.2, carper@unex.es, Martín, Jacinto2, jrmartin@unex.es, Campos-Roca, Yolanda3, ycampos@unex.es
Source: Computer Methods & Programs in Biomedicine; Apr2017, Vol. 142, p147-156, 10p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 121935747
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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      – Type: doi
        Value: 10.1016/j.cmpb.2017.02.019
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      – Code: eng
        Text: English
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        StartPage: 147
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      – TitleFull: A two-stage variable selection and classification approach for Parkinson’s disease detection by using voice recording replications.
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            NameFull: Naranjo, Lizbeth
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            NameFull: Pérez, Carlos J.
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            NameFull: Martín, Jacinto
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              Text: Apr2017
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              Y: 2017
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              Value: 142
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