Diabetes Prediction Using Machine Learning Algorithm
Premkumar P Reddy
, Dhanamma Jagli
Medical diagnosis, Medical data analytic, Diabetes disease, Prediction, Neural networks, Machine learning algorithm.
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.
"Diabetes Prediction Using Machine Learning Algorithm ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.531 - 535, September-2020, Available :https://ijsdr.org/papers/IJSDR2009089.pdf
Volume 5
Issue 9,
September-2020
Pages : 531 - 535
Paper Reg. ID: IJSDR_192501
Published Paper Id: IJSDR2009089
Downloads: 000347201
Research Area: Engineering
Country: thane, maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
