从肿瘤患者的神经外科手术数据中开发知识库

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2024-09-25 DOI:10.3103/S0005105524700213

A. V. Amentes, M. I. Zabezhailo

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引用次数: 0

摘要

我们考虑了一个利用医疗机构真实数据支持诊断决策的案例。文中讨论了解决分类问题的各种方法。论文介绍了如何将病人数据分为手术后的阳性和阴性结果，并提供清晰、可解释、可说明和可信的结果。文中举例说明了拟议的 JSM 方法在数据上的应用，并演示了所获得的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Developing a Knowledge Base from Oncological Patients’ Neurosurgical Operations Data

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Developing a Knowledge Base from Oncological Patients’ Neurosurgical Operations Data

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.

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来源期刊

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

40.00%

发文量

期刊介绍： Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.