CURVILINEAR REGRESSION ANALYSIS OF DIABETIC DRUGS USING BANHATTI INDICES
P. Nathiya, M. Suresh
Department of Mathematics, College of Engineering and Technology,
SRM Institute of Science and Technology, Kattankulathur 603203, Tamil Nadu. India
Abstract: Diabetes is a disease that arises when blood glucose (blood sugar) levels are too high. Glucose is the body’s primary source of energy; the body can produce glucose, but glucose is also obtained from the foods eat. Diabetes increases the risk of vision, kidney, nerve, and heart disease. It is also linked to certain types of cancer. Taking actions to prevent or control diabetes can help reduce the chance of acquiring diabetes-related health problems. A topological index is a numerical value derived from the chemical substance’s molecular structure. In this study, compute the K Banhatti indices and their multiplicative versions for each of the ten diabetes medications. Additionally, conduct a QSPR analysis using physical chemical parameters including boiling temperature, complexity, XLogP3, and flash point.
Keywords: Diabetes Medications, K Banhatti indices, Molecular Structure, Physical Chemical properties and QSPR analysis.
VOLUME 10 ISSUE 02 2026: 139 – 161