Design of exact reduct rough set hardware accelerator for early-stage diabetes risk prediction

Design of exact reduct rough set hardware accelerator for early-stage diabetes risk prediction

Diabetes is a prevalent, chronic metabolic disorder worldwide. Detecting and predicting risks early are vital for timely intervention. In this paper, the design and implementation of an Exact Reduct Rough Set Hardware Accelerator is presented for early-stage diabetes risk prediction. The proposed ha...

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Bibliographic Details
Main Authors: Kanchan S. Tiwari, Uma D. Dattasamje, Rekha S. Kadam, Manisha A. Dudhedia, Aishwarya A. Andhale, Jayshree R. Pansare, Bapurao G. Marlapalle
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Results in Control and Optimization
Subjects:
Exact reduct
Field-programmable gate array
Hardware accelerator
Rough set modules
Discernibility matrix
Classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2666720723001339

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http://www.sciencedirect.com/science/article/pii/S2666720723001339

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