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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Diabetes Prediction Using Machine Learning Algorithm |
| Authors Name: | Premkumar P Reddy , Dhanamma Jagli |
| Unique Id: | IJSDR2009089 |
| Published In: | Volume 5 Issue 9, September-2020 |
| Abstract: | Nowadays, Diabetes Miletus has become a common disease to the mankind from young to the old persons. The growth of the diabetic patients is increasing day-by-day due to various causes such as bacterial or viral infection, chemical substance in food, bad diet, change in lifestyles, eating habit, environment factors, etc. Hence, it is necessary to diagnos the diabetes to save the human life from diabetes. The analytics is a process of identifying the hidden patterns from large amount of data to derive conclusions. In health care, this analytical process is carried out using various machine learning algorithms for examing medical data to build the machine learning models to carry out medical diagnoses. This paper presents a diabetes prediction system to treat diabetes. Moreover, this paper identifies the various approaches to improve the accuracy in predicting diabetes using medical data with various machine learning algorithms. |
| Keywords: | Medical diagnosis, Medical data analytic, Diabetes disease, Prediction, Neural networks, Machine learning algorithm. |
| Cite Article: | "Diabetes Prediction Using Machine Learning Algorithm ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 9, page no.531 - 535, September-2020, Available :http://www.ijsdr.org/papers/IJSDR2009089.pdf |
| Downloads: | 000337214 |
| Publication Details: | Published Paper ID: IJSDR2009089 Registration ID:192501 Published In: Volume 5 Issue 9, September-2020 DOI (Digital Object Identifier): Page No: 531 - 535 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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