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Each illness presents with specific signs and symptoms. The proposed approach effectively identifies relationships between groups of illnesses and the symptoms that patients experience, supporting medical professionals in reaching a likely diagnosis. Medical diagnosis relies heavily on n-valued interval neutrosophic sets and their applications. This study examines aspects of cotangent similarity among n-valued interval neutrosophic sets and proposes a method utilizing these concepts. This approach serves as a valuable tool for addressing uncertainties and limitations in existing diagnostic methods. The application of this method in medical diagnosis is evaluated to accurately identify the illness affecting the patient. The diagnostic results demonstrate the effectiveness of the proposed strategy.
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