Enhancing healthcare decision support systems with fuzzy mathematical models
S. Mohan Mahalakshmi NaiduDepartment of Electronics & Telecommunication, International Institute of Information Technology (I²IT), Pune, Maharashtra, 411057, IndiaUma BhardwajDepartment of Biotechnology and Microbiology, Noida International University, Greater Noida, Uttar Pradesh, 203201, IndiaNaveen TewariGraphic Era UniversityAnil M. HingmireSarvar Iskandarov BaltabaevichDepartment of Mathematical Analyze, Urgench State University, Urgench, 220100, UzbekistanRina Suresh Patil
2026en
Ochiq kirishBronza
ABI
Annotatsiya
Fuzzy mathematical models assist physicians in making superior choices because of the ambiguity and inaccuracy of patient entries. This study aims at improving the performance of medical accuracy through the incorporation of fuzzy logic into healthcare decision support systems. The following paper employed clinical factors in making fuzzy inference system which was experimented on real patient datasets. The findings reveal that treatment conceptions are more credible compared to conventional conceptions. The findings support the application of fuzzy-based systems in more complicated clinical assessments, particularly in case there is uncertainty or grey zone in the medical scenario.
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