Early identification of PCOS with commonly known diseases: Obesity, diabetes, high blood pressure and heart disease using machine learning techniques. | 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/Kavita_Pandey>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Shivani_Aggarwal>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1016%2Fj.eswa.2023.119532>
foaf:homepage	<https://doi.org/10.1016/j.eswa.2023.119532>
dc:identifier	DBLP journals/eswa/AggarwalP23 (xsd:string)
dc:identifier	DOI doi.org%2F10.1016%2Fj.eswa.2023.119532 (xsd:string)
dcterms:issued	2023 (xsd:gYear)
swrc:journal	<https://dblp.l3s.de/d2r/resource/journals/eswa>
rdfs:label	Early identification of PCOS with commonly known diseases: Obesity, diabetes, high blood pressure and heart disease using machine learning techniques. (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Kavita_Pandey>
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swrc:month	May (xsd:string)
swrc:pages	119532 (xsd:string)
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/journals/eswa/eswa217.html#AggarwalP23>
rdfs:seeAlso	<https://doi.org/10.1016/j.eswa.2023.119532>
dc:title	Early identification of PCOS with commonly known diseases: Obesity, diabetes, high blood pressure and heart disease using machine learning techniques. (xsd:string)
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