Diabetes Prediction Using Ensemble Classifier

Simple item page
dc.contributor.authorDutta, Shawnien_US
dc.contributor.authorBandyopadhyay, Kumar Samiren_US
dc.date.accessioned2020-09-24T07:21:12Z
dc.date.available2020-09-24T07:21:12Z
dc.date.issued2020-04
dc.description.abstractDiabetes is one of the impactful diseases that affect humans’ health rigorously. Early diagnosis of diabetes will assist health caresystems to decide and act according to counter measures. This paper focuses on obtaining an automated tool that will predictdiabetic tendency of a patient. The system proposed by this paper contains two ensemble classifiers- Voting ensemble classifierand Stacking Ensemble classifier. Both of these methods exhibits better results while compared to other classifiers. Stackingensemble classifier even performs better than voting ensemble classifier with an accuracy of 79.87%.en_US
dc.identifier.affiliationsDepartment of Computer Science, The Bhawanipur Education Society College, Kolkata, Indiaen_US
dc.identifier.affiliationsAcademic Advisor, The Bhawanipur Education Society College, Kolkata, Indiaen_US
dc.identifier.citationDutta Shawni, Bandyopadhyay Kumar Samir. Diabetes Prediction Using Ensemble Classifier. International Journal of Medical and Health Sciences . 2020 Apr; 9(2): 48-52en_US
dc.identifier.issn2277-4484
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/203115
dc.languageenen_US
dc.publisherInternational Journal of Medical and Health Sciencesen_US
dc.relation.issuenumber2en_US
dc.relation.volume9en_US
dc.source.urihttps://www.ijmhs.net/articles/5ed2765e31a36.pdfen_US
dc.subjectDiabetesen_US
dc.subjectAutomated toolen_US
dc.subjectPredictionen_US
dc.subjectMachine Learningen_US
dc.subjectEnsemble Classifiers.en_US
dc.titleDiabetes Prediction Using Ensemble Classifieren_US
dc.typeJournal Articleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ijmhs2020v9n2p48.pdf
Size:
590.07 KB
Format:
Adobe Portable Document Format
Download
Collections
International Journal of Medical and Health Sciences