Advancing personalized prognosis in atypical and anaplastic meningiomas through interpretable machine learning models

ConclusionWith the continuous growth of neuro-oncology data, ML algorithms act as key tools in predicting survival outcomes for WHO grade II and III meningioma patients. By incorporating these interpretable models into a web application, we can practically utilize them to improve risk evaluation and prognosis for meningioma patients.
Source: Journal of Neuro-Oncology - Category: Cancer & Oncology Source Type: research