Developing a Knowledge Base from Oncological Patients’ Neurosurgical Operations Data

Abstract

A case of working with real data from a medical institution to support diagnostic decisions is considered. Various approaches to solving the classification problem are discussed. The paper describes methods of separating patient data into positive and negative outcomes following operations and providing clear, interpretable, explainable, and trustworthy results. Examples of the work of the proposed JSM method on data are given with a demonstration of the result obtained.