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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient’s medical history

Fig. 2

The schematic illustration of our clinical decision-supporting system. Our clinical decision-supporting system is comprised of three multi-channel CNN models, which predict the outcome of respective AED: vigabatrin, prednisolone, and clobazam. a The comprehensive overview of our clinical decision-supporting system. b The processes of pediatric epilepsy patient data collection and construction of the datasets, generation of an embedding matrix using an interpretation report of EEG, and architecture of our CNN models in the clinical decision-supporting system

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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