电邮这篇文章 The possibility to use artificial intelligence methods in predicting the outcomes of neurosurgical operations
- 作者: Zabezhailo M.I.1, Gavrjushin A.V.2
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隶属关系:
- Federal research center “Computer science and control” of Russian Academy of Sciences
- N.N. Burdenko Neurosurgery Centre of the Ministry of Health of the Russian Federation
- 期: 编号 2 (2024)
- 页面: 37-52
- 栏目: AI-enabled Systems
- URL: https://journal-vniispk.ru/2071-8594/article/view/265368
- DOI: https://doi.org/10.14357/20718594240203
- EDN: https://elibrary.ru/JXIDPS
- ID: 265368
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详细
Some abilities of artificial intelligence methods application in predicting the outcomes of neurosurgical operations are discussed. The presented approach is based on the analysis of causal similarity as a basis for generation cause-and-effect dependencies initially hidden in accumulated empirical data. The mathematical formalization of this heuristic is constructed by clarifying similarity as a binary algebraic operation used to compare descriptions of precedents and search in them for approximate representation of the causality of target effects – the outcomes of neurosurgical operations. The possibilities of the presented approach are illustrated by the results of an intelligent analysis of real empirical data covering a series of neurosurgical operations of stem tumors performed in 2005-2018 at the N.N. Burdenko National Medical Research Center for Neurosurgery.
作者简介
Michael Zabezhailo
Federal research center “Computer science and control” of Russian Academy of Sciences
编辑信件的主要联系方式.
Email: m.zabezhailo@yandex.ru
Doctor of physical and mathematical sciences, Head of Department
俄罗斯联邦, MoscowAndrey Gavrjushin
N.N. Burdenko Neurosurgery Centre of the Ministry of Health of the Russian Federation
Email: avg.avg03@gmail.com
Candidate of medical sciences. Neurosurgeon, Researcher of the glial tumours department
俄罗斯联邦, Moscow参考
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