METHODOLOGY FOR BUILDING A COMPUTERIZED ADVISORY EXPERT SYSTEM FOR THE DIAGNOSIS OF EPILEPSY IN CHILDREN

Design principles for a medical expert system and a methodology for automated diagnosis of childhood epilepsy have been developed using a decision tree based on medical logic. This expert system is intended to provide intelligent support to practicing neurologists in interpreting data from clinical...

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Bibliographic Details
Published in:Biomedical engineering 2024, Vol.57 (5), p.353-357
Main Authors: Magrupov, T. M., Kuchkarova, N. A., Gaibnazarov, S. S.
Format: Article
Language:English
Subjects:
Algorithms
Automation
Biomaterials
Biomedical and Life Sciences
Biomedical engineering
Biomedicine
Brain research
Children
Convulsions & seizures
Data analysis
Datasets
Decision making
Decision trees
Diagnosis
Electroencephalography
Engineering
Epilepsy
Expert systems
Libraries
Python
Software
Citations: Items that this one cites
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Summary:Design principles for a medical expert system and a methodology for automated diagnosis of childhood epilepsy have been developed using a decision tree based on medical logic. This expert system is intended to provide intelligent support to practicing neurologists in interpreting data from clinical examination of patients and making preliminary diagnoses.
ISSN:0006-3398
1573-8256
DOI:10.1007/s10527-023-10333-4