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Open Access ·Peer-reviewed·ISSN (Online): 2169-012X·ISSN (Print): 0972-0502

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Open Access Research Article

Enhancing healthcare decision support systems with fuzzy mathematical models

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pp. 617–625Vol. 29Issue 3March 2026DOI: 10.47974/JIM-2496XML
Received:
01 Mar 2025
Published Online:
18 Mar 2026
Article type:
Research Article
Language:
EN
Article no.:
JIM-2496
Pages:
617–625

Abstract

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.

Keywords

Subject Classifications

03B5294D99

References

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