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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19456
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
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| Paper Title: | Diabetes Data Analysis and Prediction Model |
| Authors Name: | Nisha N , Amruta Renake , S.Y. Pattar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_185260
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| Published Paper Id: | IJRTI2302059 |
| Published In: | Volume 8 Issue 2, February-2023 |
| DOI: | |
| Abstract: | Abstract— Diabetes Mellitus is one among critical diseases and lots of people are suffering from this disease. Diabetes Mellitus is caused due to age, obesity, lack of exercise, hereditary diabetes, living style, bad diet, high blood pressure, etc. People having diabetes have high risk of diseases like heart disease, kidney disease, stroke, eye problem, nerve damage, etc. Current practice in hospital is to collect required information for diabetes diagnosis through various tests and appropriate treatment is provided based on diagnosis. Big Data Analytics plays an significant role in healthcare industries. Healthcare industries have large volume databases. Using big data analytics one can study huge datasets and find hidden information, hidden patterns to discover knowledge from the data and predict outcomes accordingly. In existing method, the classification and prediction accuracy is not so high. In this paper, we have proposed a diabetes prediction model for better classification of diabetes which includes few external factors responsible for diabetes along with regular factors like Glucose, BMI, Age, Insulin, etc. Classification accuracy is boosted with new dataset compared to existing dataset. Further with imposed a pipeline model for diabetes prediction intended towards improving the accuracy of classification |
| Keywords: | Diabetes Mellitus, Data Analytics, Prediction model. |
| Cite Article: | "Diabetes Data Analysis and Prediction Model", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 2, page no.367 - 369, February-2023, Available :http://www.ijrti.org/papers/IJRTI2302059.pdf |
| Downloads: | 000205196 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2302059
Registration ID:185260
Published In: Volume 8 Issue 2, February-2023
DOI (Digital Object Identifier):
Page No: 367 - 369 Country: Kolar, Karnataka, India Research Area: Bio Medical Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2302059 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2302059 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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