A Fuzzy Logic Framework for Breast Cancer Treatment Optimization Based on Race, Age, and Tumor Size
Year: 2025
Type: article
Abstract: In modern oncology, data complexity can challenge physicians in selecting optimal treatment paths. This study introduces a fuzzy logic-based decision support system that evaluates three variables—race, age, and tumor size—to recommend preferred treatment options for breast cancer. Leveraging fuzzy logic enables nuanced clinical assessments beyond binary reasoning, thus reducing decision-making time and minimizing potential errors. Results highlight fuzzy logic's capability to mirror human decision-making in oncology and offer a scalable method for personalized treatment optimization.
DOI: 10.52152/800210
Authors: M. Vidya Bhargavi, Venkateswara Rao Mudunuru, Sampath Kalluri
Institution: Novartis (Switzerland)
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7082052355
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