A fuzzy-based adaptive multi-input–output scheme in lieu of diabetic and hypertension management for post-operative patients: an human–machine interface approach with its continuum
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-04975-8.pdf
Reference36 articles.
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2. Wild S, Roglic G, Green A, Sicree R, King H (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27(5):1047–1053
3. Slate JB, Sheppard LC, Rideout VC, Blackstone EH (1979) A model for design of a blood pressure controller for hypertensive patients. In: Proceedings of the IEEE EMBS conference, pp 867–72
4. Parthasarathy P, Vivekanandan S (2018) A numerical modelling of an amperometric-enzymatic based uric acid biosensor for GOUT arthritis diseases. Inf Med Unlocked 12:143–147
5. Slate JB, Sheppard LC (1982) A model-based adaptive blood pressure controller. In: Proceedings of IFAC symposium on identification and system parameter estimation, Washington, pp 1437–1442
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