An absolute magnitude deviation of HRV for the prediction of prediabetes with combined artificial neural network and regression tree methods. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Abhishek_Kandwal>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Efetobore_Yetunde>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Jingzhen_Li>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Lei_Wang_0029>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Olatunji_Mumini_Omisore>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Tobore_Igbe>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Yuhang_Liu>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Zedong_Nie>
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dcterms:issued	2022 (xsd:gYear)
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rdfs:label	An absolute magnitude deviation of HRV for the prediction of prediabetes with combined artificial neural network and regression tree methods. (xsd:string)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Jingzhen_Li>
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dc:title	An absolute magnitude deviation of HRV for the prediction of prediabetes with combined artificial neural network and regression tree methods. (xsd:string)
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