دانلود مقاله انگلیسی رایگان:یک سیستم هوش مصنوعی  پیشنهادی برای حمایت از تشخیص صرع بر اساس طبقه بندی صرع 2017: نشان داده شده توسط سندرم دراوت - 2020
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  • A propositional AI system for supporting epilepsy diagnosis based on the 2017 epilepsy classification: Illustrated by Dravet syndrome A propositional AI system for supporting epilepsy diagnosis based on the 2017 epilepsy classification: Illustrated by Dravet syndrome
    A propositional AI system for supporting epilepsy diagnosis based on the 2017 epilepsy classification: Illustrated by Dravet syndrome

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    A propositional AI system for supporting epilepsy diagnosis based on the 2017 epilepsy classification: Illustrated by Dravet syndrome


    ترجمه فارسی عنوان مقاله:

    یک سیستم هوش مصنوعی پیشنهادی برای حمایت از تشخیص صرع بر اساس طبقه بندی صرع 2017: نشان داده شده توسط سندرم دراوت


    منبع:

    Sciencedirect - Elsevier - Epilepsy & Behavior 106 (2020) 107021


    نویسنده:

    Kuo-Liang Chiang a,b,c,⁎, Chin-Yin Huangc,d,⁎⁎, Liang-Po Hsieh e, Kai-Ping Chang f


    چکیده انگلیسی:

    Purpose: The 2017 epilepsy and seizure diagnosis framework emphasizes epilepsy syndromes and the etiologybased approach.We developed a propositional artificial intelligence (AI) system based on the above concepts to support physicians in the diagnosis of epilepsy. Methods:We analyzed and built ontology knowledge for the classification of seizure patterns, epilepsy, epilepsy syndrome, and etiologies. Protégé ontology tool was applied in this study. In order to enable the system to be close to the inferential thinking of clinical experts, we classified and constructed knowledge of other epilepsyrelated knowledge, including comorbidities, epilepsy imitators, epilepsy descriptors, characteristic electroencephalography (EEG) findings, treatments, etc. We used the OntologyWeb Language with Description Logic (OWL-DL) and Semantic Web Rule Language (SWRL) to design rules for expressing the relationship between these ontologies. Results: Dravet syndrome was taken as an illustration for epilepsy syndromes implementation.We designed an interface for the physician to enter the various characteristics of the patients. Clinical data of an 18-year-old boy with epilepsy was applied to the AI system. Through SWRL and reasoning engine Drools execution, we successfully demonstrate the process of differential diagnosis. Conclusion: We developed a propositional AI system by using the OWL-DL/SWRL approach to deal with the complexity of current epilepsy diagnosis. The experience of this system, centered on the clinical epilepsy syndromes, paves a path to construct an AI system for further complicated epilepsy diagnosis.
    Keywords: Epilepsy syndrome | Etiology | OWL-DL | Protégé | Seizure classification | SemanticWeb Rule Language


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 13
    حجم فایل: 4374 کیلوبایت

    قیمت: رایگان


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