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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: | Implementation of Genetic Algorithm in Predicting Diabetes |
| Authors Name: | Varsha Rathour , Mr. Pritesh Jain |
| Unique Id: | IJSDR1811046 |
| Published In: | Volume 3 Issue 11, November-2018 |
| Abstract: | Data Mining goes for finding information out of information and showing it in a frame that is effortlessly compressible to people. Information Mining speaks to a procedure created to analyze a lot of information routinely gathered. The term likewise alludes to a gathering of apparatuses used to play out the procedure. One of the helpful applications in the field of prescription is the serious unending illness diabetes. Information digging calculation is utilized for testing the precision in foreseeing diabetic status. Fluffy Systems are been utilized for taking care of an extensive variety of issues in various application space Genetic Algorithm for planning. Fluffy frameworks permits in presenting the learning and adjustment capacities. Neural Networks are productively utilized for learning enrollment capacities. Diabetes happens all through the world, however Type 2 is more typical in the most created nations. The more noteworthy increment in pervasiveness is anyway expected in Asia and Africa where most patients will probably be found by 2030. |
| Keywords: | Data Mining, Diabetes, Fuzzy Systems, Genetic Algorithm (GA), Neural Networks. |
| Cite Article: | "Implementation of Genetic Algorithm in Predicting Diabetes", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.269 - 276, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811046.pdf |
| Downloads: | 000337067 |
| Publication Details: | Published Paper ID: IJSDR1811046 Registration ID:180815 Published In: Volume 3 Issue 11, November-2018 DOI (Digital Object Identifier): Page No: 269 - 276 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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