Journal article Open Access

Diagnosis of Type-2 Diabetes using Classification and Mining Techniques

Sankar Padmanabhan; Manjunath K M; Madhurima V


DCAT Export

<?xml version='1.0' encoding='utf-8'?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#">
  <rdf:Description rdf:about="https://zenodo.org/record/5593999">
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/5593999</dct:identifier>
    <foaf:page rdf:resource="https://zenodo.org/record/5593999"/>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Sankar Padmanabhan</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>ECE, SV Engineering College,Karakambadi,Tirupati,AP</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Manjunath K M</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>ECE, SV Engineering College,Karakambadi,Tirupati,AP</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Madhurima V</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>ECE, SV Engineering College,Karakambadi,Tirupati,AP</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:title>Diagnosis of Type-2 Diabetes using Classification and Mining Techniques</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Zenodo</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued>
    <dcat:keyword>Algorithms, Heart rate variability, J48, Regression, SVM</dcat:keyword>
    <dct:subject>
      <skos:Concept>
        <skos:prefLabel>2249-8958</skos:prefLabel>
        <skos:inScheme>
          <skos:ConceptScheme>
            <dct:title>issn</dct:title>
          </skos:ConceptScheme>
        </skos:inScheme>
      </skos:Concept>
    </dct:subject>
    <dct:subject>
      <skos:Concept>
        <skos:prefLabel>C5988029320 /2020©BEIESP</skos:prefLabel>
        <skos:inScheme>
          <skos:ConceptScheme>
            <dct:title>handle</dct:title>
          </skos:ConceptScheme>
        </skos:inScheme>
      </skos:Concept>
    </dct:subject>
    <schema:sponsor>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Blue Eyes Intelligence Engineering &amp; Sciences Publication(BEIESP)</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Publisher</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </schema:sponsor>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-02-29</dct:issued>
    <dct:language rdf:resource="http://publications.europa.eu/resource/authority/language/ENG"/>
    <owl:sameAs rdf:resource="https://zenodo.org/record/5593999"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/5593999</skos:notation>
        <adms:schemeAgency>url</adms:schemeAgency>
      </adms:Identifier>
    </adms:identifier>
    <dct:relation rdf:resource="http://issn.org/resource/ISSN/2249-8958"/>
    <owl:sameAs rdf:resource="https://doi.org/10.35940/ijeat.C5988.029320"/>
    <dct:description>&lt;p&gt;Around two hundred and fifty million individuals, with a major part of them being ladies influenced by diabetes. This number may ascend to 380 million by another decade. The sickness has been named as the fifth deadliest illness in the world with not a single inevitable fix to be seen. With the ascent of data innovation and proceeding with an approach into the restorative and medicinal services part, the instances of diabetes and their side effects all around are archived. Information mining is a buzz word separating concealed data from an enormous arrangement of database. It assists scientists in building large database in the area of biomedical engineering. The Pima Indian diabetes database was used for investigation purpose. In this paper an attempt has been made to study the effect of various classification and mining Techniques like Decision Tree, Na&amp;iuml;ve Bayes, SVM, Regression etc on the diagnosis of Type-2 diabetes.&lt;/p&gt;</dct:description>
    <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/>
    <dct:accessRights>
      <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess">
        <rdfs:label>Open Access</rdfs:label>
      </dct:RightsStatement>
    </dct:accessRights>
    <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.35940/ijeat.C5988.029320"/>
        <dcat:byteSize>454195</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/5593999/files/C5988029320.pdf"/>
        <dcat:mediaType>application/pdf</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
</rdf:RDF>
39
14
views
downloads
Views 39
Downloads 14
Data volume 6.4 MB
Unique views 36
Unique downloads 14

Share

Cite as