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Record #70970

An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment

Original paper date
Apr 4, 2025
Institution
Department of Computational Intelligence, Faculty of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chennai, Tamil Nadu, 603203, India · Department of Artificial Intelligence and Data Science, K.S.Rangasamy College of Technology, Tiruchengode, Tamil Nadu, 637215, India · Department of Computer Science and Engineering, School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, 600062, India · Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy avenue, 56, Kyiv, 03057, Ukraine · Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamilnadu, 603 203, India
Open access
No
Article type
Research Article
Broad categories
(B/T) Data Science(B/T) Technology(HSC) Medicine - Cardiovascular(HSC) Medicine - Diabetes(HSC) Medicine - Neurology
Citation lifecycle

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Pre-retraction
3
Same day
0
Post-retraction
0
% post-retraction
0.0%
~2.6 citations/yr before retraction
— citing papers

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