Abstract
This study introduces an MCDM-based framework for identifying neurological diseases in hospitalized patients using symptom-based evaluations. A team of interns, guided by the chief doctor, was responsible for determining each patient’s precise condition from the presented neurological symptoms. To enhance diagnostic accuracy, the interns employed the TOPSIS and WASPAS methods to assess and rank the potential disease options. The combined analysis yielded a clear identification of the highest ranked disease for every patient, highlighting the effectiveness of these MCDM techniques in supporting clinical decision making.
Recommended Citation
Anitha, B. and M, Lavanya
(2030).
(R2187) Analysis of Neurological Impairments in Hospitalized Patients Using Cubic Neutrosophic Sets,
Applications and Applied Mathematics: An International Journal (AAM), Vol. 21,
Iss.
1, Article 24.
Available at:
https://digitalcommons.pvamu.edu/aam/vol21/iss1/24
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