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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | An Efficient Ensemble Method for Diabetes Detection |
| Authors Name: | Mrs.S.Ramya , Dr.D.Kalaivani |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_181205
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| Published Paper Id: | IJNRD2205133 |
| Published In: | Volume 7 Issue 5, May-2022 |
| DOI: | |
| Abstract: | Diabetes is one of the major health issues among youngsters nowadays because of poor diet, family history, lifestyle habits. The medical diagnosis is important based on complicated risks that should be performed accurately and effectively. Based on the result and reports further investigation is needed through diagnosis and treatment are given to the patient. Many numbers of the data can be available in the healthcare systems. The availability and necessary medical data can be analyzed for data analysis tools to extract useful information through pattern recognition. Both data mining and knowledge discovery data are infinite applications including business and research scientific fields. Diabetes is one of the major applications nowadays where data mining tools are very useful to easily diagnose and find the solution. This paper, diagnoses diabetes through data mining tools such as SVM, association rule, clustering, and association. So, Data mining helps to predict and diagnose diseases with a low occurrence of risks. In this paper, the main focus is to make a present detailed survey of various data mining techniques and approaches that have been put to use for the prognosis of diabetes. |
| Keywords: | Feature Selection,Diabetes,Detection,diagnosis |
| Cite Article: | "An Efficient Ensemble Method for Diabetes Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.1087-1092, May-2022, Available :http://www.ijnrd.org/papers/IJNRD2205133.pdf |
| Downloads: | 000118762 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2205133 Registration ID: 181205 Published In: Volume 7 Issue 5, May-2022 DOI (Digital Object Identifier): Page No: 1087-1092 Country: Coimbatore, Tamilnadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2205133 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2205133 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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