On the Nonbinary Version of the Causality Relation in the Intelligent Analysis of Oncological Data

The experience and specifics of the use of intelligent data analysis (IDA) in high-tech medical diagnostics are discussed. The current version of the IDA is a mathematical formalization of the so-called causal similarity heuristic by algebraic means. The main features and abilities of the developed...

Full description

Saved in:
Bibliographic Details
Published in:Automatic documentation and mathematical linguistics 2024-06, Vol.58 (3), p.200-207
Main Authors: Zabezhailo, M. I., Mikheyenkova, M. A., Trunin, Yu. Yu
Format: Article
Language:English
Subjects:
Computer Science
Data analysis
Human performance
Information Storage and Retrieval
Intelligent Systems
Tumors
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The experience and specifics of the use of intelligent data analysis (IDA) in high-tech medical diagnostics are discussed. The current version of the IDA is a mathematical formalization of the so-called causal similarity heuristic by algebraic means. The main features and abilities of the developed approach are demonstrated in relation to the tasks of the diagnosis and treatment of certain types of human brain tumors. Some results characterizing the causality of the effect of pseudo-progression and tumor recurrence are presented. The potential and prospects of the developed approaches and diagnostic tools in the arsenal of modern evidence-based medicine are considered.
ISSN:0005-1055
1934-8371
DOI:10.3103/S0005105524700146