Enhancing Diagnostic Precision through Neutrosophic  Degrees: A Hypothetical Framework for Managing  Medical Uncertainty

A.A. Salama; Abdelnasser Mohamed; Huda E. Khalid; Ahmed K. Essa; Doaa E. Mossa

Authors

A.A. Salama Dept. of Math and Computer Sci., Faculty of Science, Port Said Univ., Egypt
Abdelnasser Mohamed Dept of Computer Science , Applied College, Northern Border University, KSA
Huda E. Khalid University of Telafer, The Administration Assistant for the President of the Telafer University, Telafer, Iraq;
Ahmed K. Essa University of Telafer, The Administration Assistant for the President of the Telafer University, Telafer, Iraq;
Doaa E. Mossa High Institute of Computer Science and Information Systems, Delta Acadmey, City, Dakahlia, Egypt ,

Keywords:

Neutrosophic Degrees, Medical Data, Ambiguity, Uncertainty, Diagnosis, Fuzzy Logic, Medical Decisions

Abstract

Clinicians sometimes obtain equivocal outcomes owing to equipment
restrictions and individual organic variation. To handle this uncertainty, it provides a
"neutrosophic degree," claiming that this new approach can clarify vague diagnostic
situations and quantify confidence of patient health status. The study emphasizes the utility
of its approach through an analysis of hypothetical blood test results, noting potential
advantages including resolution of diagnostic "grey areas" and enhanced understanding of
disease presence. Compelling evidence remains, including additional cohorts in the real
world, more effective ways to measure uncertainty, and better methodologies for the
identification of disease. We suggest conducting future studies to apply neutrosophic degrees
to real patient data and determine best practices for implementing their methods in clinical
trials. Overall, the results imply that the usage of neutrosophic degrees would improve the
efficiency of medical data processing and facilitate enhanced decision-making in medical
treatment.

DOI: 10.5281/zenodo.16754375