Using Machine Learning Methods in the Diagnosis of Meningiom
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Abstract
Meningioma is one of the most common tumors that recur after resection (GTR), and the World Health Organization (WHO) classification of brain tumors and the prediction of the risk of recurrence of the disease continue to attract the attention of researchers. Therefore, we analyzed 117 cases of meningioma, a benign brain tumor originating from meningothelial cells of the arachnoid membrane of the brain, registered in 2024 at the National Center for Pathology, based on histopathological diagnosis and epidemiology, and used artificial intelligence (AI)-based software (R, Python), machine learning (ML) methods, methods, and algorithms to make age, gender, grade, calculations, and comparisons. Using machine learning methods, we can predict which age and gender are the most common and which grade of meningioma is most common. Although it is widely studied in many countries, the lack of studies conducted using machine learning in our country is the reason for starting this study.
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