Diabetic Condition Classification using Supervised and Unsupervised Machine Learning Techniques: A Use Case for HealthTech Industry-Reference-Cited by-同舟云学术

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Diabetic Condition Classification using Supervised and Unsupervised Machine Learning Techniques: A Use Case for HealthTech Industry

Published:2023-12-08 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 Fourth International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)
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Author:

Bongale Anupkumar M.¹,Biradar Santoshkumar²,Pise Priya³,Suke Amita Priyadarshan²,Uke Nilesh⁴,Dharrao Deepak S.⁵

Affiliation:

1. Pune Campus, Symbiosis International (Deemed University),Symbiosis Institute of Technology,Department of AIML,Pune,India

2. G H Raisoni College of Engineering and Management,Department of Cyber Security and Data Science,Wagholi, Pune,India

3. Indira College of Engineering and Management,Department of AI and DS,Pune,India

4. Trinity Academy of Engineering,Pune,India

5. Pune Campus, Symbiosis International (Deemed University),Symbiosis Institute of Technology,Department of CSE,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10584833/10584835/10585082.pdf?arnumber=10585082

Reference17 articles.

1. Dietary starch and fiber: potential benefits to body weight and glucose metabolism

2. RELATIONSHIP BETWEEN STRESS LEVEL AND INCREASED BLOOD SUGAR LEVELS IN PATIENTS WITH DIABETES MELLITUS

3. Role of Insulin in Health and Disease: An Update

4. Assessment of Insulin Secretion and Insulin Resistance in Human

5. A comparison of machine learning algorithms for diabetes prediction

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