Published Paper Details:

Selecting the most appropriate treatment for a medical condition is a critical decision faced by healthcare providers and patients. The effectiveness of the chosen treatment significantly influences patient outcomes, quality of life, and healthcare costs. However, the decision-making process is intricate, involving multiple factors such as treatment efficacy, potential side effects, cost implications, patient preferences, and treatment duration. To address these complexities, structured decision-making frameworks, integrating evidence-based medicine and patient-centered care, are essential. In this paper, we explore the application of Multi-Criteria Decision Making (MCDM) techniques in treatment selection. Specifically, we focus on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a widely recognized MCDM method. We present a detailed methodology for applying TOPSIS to evaluate and rank treatment options based on multiple criteria. By constructing a decision matrix, normalizing it, applying weights, and calculating separation measures from ideal solutions, we derive the relative closeness of each treatment option to the ideal solution. The results indicate that surgery emerges as the most preferred treatment option, followed by medication, physical therapy, and lifestyle changes.