Rule Extraction Algorithms on Type-2 Diabetes Data
Ramalingaswamy Cheruku1, Pradeep Kumar Nalluri2, Naga Sanketh Vysyaraju3, Gopi Krishna Yogeshwar Gavuji4, Balaji Sai Charan Jalukuru5, Veeraiah Talagondapati6
1Ramalingaswamy Cheruku, Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad (Telangana), India.
2Pradeep Kumar Nalluri, Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad (Telangana), India.
3Naga Sanketh Vysyaraju, Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad (Telangana), India.
4Gopi Krishna Yogeshwar Gavuji, Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad (Telangana), India.
5Balaji Sai Charan Jalukuru, Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad (Telangana), India.
6Veeraiah Talagondapati, Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad (Telangana), India.
Manuscript received on 14 February 2019 | Revised Manuscript received on 05 March 2019 | Manuscript Published on 08 June 2019 | PP: 420-426 | Volume-7 Issue-5S4, February 2019 | Retrieval Number: E10890275S419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Diabetes is a metabolic disorder in which body produces insufficient insulin or no insulin. As a result blood sugar levels in the body increases and causes severe complications in the long run. Medical decision support systems play a crucial role in identifying the diabetes in the early stages. This helps the doctors to provide better diagnostics to increase patient lifespan. In the literature there are many such decision support systems available. In this paper we are presenting the performance of such systems and this helps the researchers working in this field.
Keywords: Survey, Diabetes, Support Systems.
Scope of the Article: Web Algorithms