An affective learning-based system for diagnosis and personalized management of diabetes mellitus

Author:

Omisore Olatunji Mumini,Ojokoh Bolanle Adefowoke,Babalola Asegunoluwa Eunice,Igbe Tobore,Folajimi Yetunde,Nie Zedong,Wang Lei

Funder

National Natural Science Foundation of China-Guangdong Joint Fund

Natural Science Foundation of Shenzhen City

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. OHESV: Optimal hybrid ensemble support vector model for detecting and recommendation of food for diabetic patients;Multimedia Tools and Applications;2024-01-30

3. Artificial Neural Network Based Categorization of Diabetes Mellitus and its Comparison with K-Nearest Neighbors Algorithm;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12

4. The role of long non-coding RNA UCA1 and MALAT1 in bladder cancer patients;Human Gene;2023-05

5. A Systematic Review on Food Recommender Systems for Diabetic Patients;International Journal of Environmental Research and Public Health;2023-02-27

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