Developing a Knowledge Base from Oncological Patients' Neurosurgical Operations Data

被引：0
|
作者：
Amentes, A. V. [1 ]
Zabezhailo, M. I. [2 ]
机构：
[1] Moscow Inst Phys & Technol, Moscow, Russia
[2] Russian Acad Sci, Fed Res Ctr Comp Sci & Control, Moscow, Russia
来源：
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS | 2024年 / 58卷 / 04期
关键词：
computer data analysis; similarity-based reasoning; mathematical models of interpolation-extrapolation type; knowledge base; !text type='JS']JS[!/text]M method; oncological data;
D O I：
10.3103/S0005105524700213
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：267 / 279
页数：13
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