Using Sport Vector Machine for to Distinguish Between Benign and Malignant Brain Tumors

Miaad Hakim  Jawad

Miaad Hakim Jawad 1. Al-Qadisiyah University / Faculty of Administration and Economics / Statistics, Iraq

Keywords: Support Vector Machine (SVM), Misclassification, malignant brain tumors

Abstract

In light of the advancement of artificial intelligence (AI) tools, which now have widespread applications across various fields such as medicine, engineering, biology, and beyond, there is an urgent need to leverage AI tools in statistical applications. In the study under consideration, one of the AI techniques, Support Vector Machine (SVM), will be utilized to perform classification tasks, return elements to their original population, and provide accurate predictions for future observations. This method will be applied to a complex medical phenomenon: distinguishing between benign and malignant brain tumors. This represents a valuable study in utilizing AI tools for classification purposes.This effort marks a significant step in the medical field, as it aims to spare patients from undergoing biopsies, which could potentially worsen their condition due to side effects. Data has been collected from two groups: Patients with benign brain tumors and Patients with malignant brain tumors. The SVM method will be employed to build a predictive model with high accuracy in classifying observations into their respective categories.

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