{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T04:01:24Z","timestamp":1781236884822,"version":"3.54.1"},"reference-count":45,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100006280","name":"Ministerio de Ciencia y Tecnolog\u00c3\u00ada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006280","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","epilepsybehavior.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Epilepsy &amp; Behavior"],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1016\/j.yebeh.2020.107021","type":"journal-article","created":{"date-parts":[[2020,3,27]],"date-time":"2020-03-27T06:44:36Z","timestamp":1585291476000},"page":"107021","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["A propositional AI system for supporting epilepsy diagnosis based on the 2017 epilepsy classification: Illustrated by Dravet syndrome"],"prefix":"10.1016","volume":"106","author":[{"given":"Kuo-Liang","family":"Chiang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chin-Yin","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang-Po","family":"Hsieh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai-Ping","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.yebeh.2020.107021_bb0005","series-title":"SCN1A-related seizure disorders. In: GeneReviews\u00ae[Internet]","author":"Miller","year":"2014"},{"key":"10.1016\/j.yebeh.2020.107021_bb0010","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1177\/0883073815599262","article-title":"Diagnostic approach to genetic causes of early-onset epileptic encephalopathy","volume":"31","author":"Gursoy","year":"2016","journal-title":"J Child Neurol"},{"key":"10.1016\/j.yebeh.2020.107021_bb0015","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1038\/s41525-018-0061-8","article-title":"Whole-genome analysis for effective clinical diagnosis and gene discovery in early infantile epileptic encephalopathy","volume":"3","author":"Ostrander","year":"2018","journal-title":"NPJ Genom Med"},{"key":"10.1016\/j.yebeh.2020.107021_bb0020","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1111\/epi.13709","article-title":"ILAE classification of the epilepsies: position paper of the ILAE Commission for Classification and Terminology","volume":"58","author":"Scheffer","year":"2017","journal-title":"Epilepsia"},{"key":"10.1016\/j.yebeh.2020.107021_bb0025","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1111\/epi.13670","article-title":"Operational classification of seizure types by the International League Against Epilepsy: position paper of the ILAE Commission for Classification and Terminology","volume":"58","author":"Fisher","year":"2017","journal-title":"Epilepsia"},{"key":"10.1016\/j.yebeh.2020.107021_bb0030","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1111\/epi.13671","article-title":"Instruction manual for the ILAE 2017 operational classification of seizure types","volume":"58","author":"Fisher","year":"2017","journal-title":"Epilepsia"},{"key":"10.1016\/j.yebeh.2020.107021_bb0035","author":"EpilepsyDiagnosis.org"},{"key":"10.1016\/j.yebeh.2020.107021_bb0040","doi-asserted-by":"crossref","first-page":"101713","DOI":"10.1016\/j.artmed.2019.101713","article-title":"Ten years of knowledge representation for health care (2009\u20132018): topics, trends, and challenges","author":"Ria\u00f1o","year":"2019","journal-title":"Artif Intell Med"},{"key":"10.1016\/j.yebeh.2020.107021_bb0045","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.artmed.2014.03.001","article-title":"Automatic classification of epilepsy types using ontology-based and genetics-based machine learning","volume":"61","author":"Kassahun","year":"2014","journal-title":"Artif Intell Med"},{"key":"10.1016\/j.yebeh.2020.107021_bb0050","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1136\/amiajnl-2013-001696","article-title":"Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care","volume":"21","author":"Sahoo","year":"2014","journal-title":"J Am Med Inform Assoc"},{"key":"10.1016\/j.yebeh.2020.107021_bb0055","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/S1071-5819(02)00127-1","article-title":"The evolution of Prot\u00e9g\u00e9: an environment for knowledge-based systems development","volume":"58","author":"Gennari","year":"2003","journal-title":"Int J Hum Comput Stud"},{"key":"10.1016\/j.yebeh.2020.107021_bb0060","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1080\/13697137.2017.1287866","article-title":"A precision medicine initiative for Alzheimer's disease: the road ahead to biomarker-guided integrative disease modeling","volume":"20","author":"Hampel","year":"2017","journal-title":"Climacteric"},{"key":"10.1016\/j.yebeh.2020.107021_bb0065","series-title":"Proceedings of the 2nd Asia-Pacific conference on conceptual modelling-Volume 43","first-page":"89","article-title":"Relational. OWL: a data and schema representation format based on OWL","author":"de Laborda","year":"2005"},{"key":"10.1016\/j.yebeh.2020.107021_bb0070","series-title":"Process support and knowledge representation in health care","first-page":"1","article-title":"How ontologies can improve semantic interoperability in health care","author":"Schulz","year":"2013"},{"key":"10.1016\/j.yebeh.2020.107021_bb0075","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.procs.2018.01.139","article-title":"Improving integrated product design using SWRL rules expression and ontology-based reasoning","volume":"127","author":"Abadi","year":"2018","journal-title":"Procedia Comput Sci"},{"key":"10.1016\/j.yebeh.2020.107021_bb0080","series-title":"Transactions on computational collective intelligence XXIX","first-page":"84","article-title":"SWRL-based recommendation system for provision of the first aid","author":"Hus\u00e1kov\u00e1","year":"2018"},{"key":"10.1016\/j.yebeh.2020.107021_bb0085","author":"Epilepsy Foundation of America"},{"key":"10.1016\/j.yebeh.2020.107021_bb0090","series-title":"The guidelines for childhood epilepsy (in Chinese)","author":"Taiwan Epilepsy Society","year":"2018"},{"key":"10.1016\/j.yebeh.2020.107021_bb0095","doi-asserted-by":"crossref","first-page":"1073","DOI":"10.1136\/archdischild-2012-302822","article-title":"Diagnosis and management of the epilepsies in children: a summary of the partial update of the 2012 NICE epilepsy guideline","volume":"97","author":"Appleton","year":"2012","journal-title":"Arch Dis Child"},{"key":"10.1016\/j.yebeh.2020.107021_bb0100","series-title":"Medical index of rare epilepsy (in Japanese)","author":"Japan Epilepsy Society","year":"2017"},{"key":"10.1016\/j.yebeh.2020.107021_bb0105","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.jpeds.2018.07.055","article-title":"Comorbidities of rare epilepsies: results from the Rare Epilepsy Network","volume":"203","author":"Ho","year":"2018","journal-title":"J Pediatr"},{"key":"10.1016\/j.yebeh.2020.107021_bb0110","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1002\/epi4.12095","article-title":"Common terms for rare epilepsies: synonyms, associated terms, and links to structured vocabularies","volume":"3","author":"Grinspan","year":"2018","journal-title":"Epilepsia Open"},{"key":"10.1016\/j.yebeh.2020.107021_bb0115","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s00401-015-1481-5","article-title":"Infections, inflammation and epilepsy","volume":"131","author":"Vezzani","year":"2016","journal-title":"Acta Neuropathol"},{"key":"10.1016\/j.yebeh.2020.107021_bb0120","doi-asserted-by":"crossref","DOI":"10.3390\/ijms18071384","article-title":"Inborn errors of metabolism and epilepsy: current understanding, diagnosis, and treatment approaches","volume":"18","author":"Sharma","year":"2017","journal-title":"Int J Mol Sci"},{"key":"10.1016\/j.yebeh.2020.107021_bb0125","series-title":"The infectious etiology of chronic diseases: defining the relationship, enhancing the research, and mitigating the effects","first-page":"93","article-title":"Infectious agents and epilepsy","author":"Sander","year":"2004"},{"key":"10.1016\/j.yebeh.2020.107021_bb0130","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.spen.2016.06.004","article-title":"Amenable treatable severe pediatric epilepsies","volume":"23","author":"Pearl","year":"2016","journal-title":"Semin Pediatr Neurol"},{"key":"10.1016\/j.yebeh.2020.107021_bb0135","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1016\/S1474-4422(15)00250-1","article-title":"The genetic landscape of the epileptic encephalopathies of infancy and childhood","volume":"15","author":"McTague","year":"2016","journal-title":"Lancet Neurol"},{"key":"10.1016\/j.yebeh.2020.107021_bb0140","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.seizure.2016.07.002","article-title":"Antibody-associated epilepsies: clinical features, evidence for immunotherapies and future research questions","volume":"41","author":"Bakpa","year":"2016","journal-title":"Seizure"},{"key":"10.1016\/j.yebeh.2020.107021_bb0145","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1007\/s11940-017-0467-0","article-title":"Treatable genetic metabolic epilepsies","volume":"19","author":"Assi","year":"2017","journal-title":"Curr Treat Options Neurol"},{"key":"10.1016\/j.yebeh.2020.107021_bb0150","series-title":"JBoss Drools business rules","author":"Browne","year":"2009"},{"key":"10.1016\/j.yebeh.2020.107021_bb0155","first-page":"769","article-title":"Ontology versus semantic networks for medical knowledge representation","author":"Salem","year":"2008","journal-title":"Rec Adv Comput Eng"},{"key":"10.1016\/j.yebeh.2020.107021_bb0160","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.procs.2012.06.045","article-title":"Medical ontology in the dynamic healthcare environment","volume":"10","author":"Zeshan","year":"2012","journal-title":"Procedia Comput Sci"},{"key":"10.1016\/j.yebeh.2020.107021_bb0165","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1038\/s41588-018-0096-x","article-title":"Plain-language medical vocabulary for precision diagnosis","volume":"50","author":"Vasilevsky","year":"2018","journal-title":"Nat Genet"},{"key":"10.1016\/j.yebeh.2020.107021_bb0170","first-page":"581","article-title":"Phenotypic analysis of clinical narratives using human phenotype ontology","volume":"245","author":"Shen","year":"2017","journal-title":"Stud Health Technol Inform"},{"key":"10.1016\/j.yebeh.2020.107021_bb0175","doi-asserted-by":"crossref","first-page":"1452","DOI":"10.1056\/NEJMra1615014","article-title":"Classification, ontology, and precision medicine","volume":"379","author":"Haendel","year":"2018","journal-title":"N Engl J Med"},{"key":"10.1016\/j.yebeh.2020.107021_bb0180","doi-asserted-by":"crossref","first-page":"2621","DOI":"10.1016\/j.eswa.2009.08.016","article-title":"ODDIN: ontology-driven differential diagnosis based on logical inference and probabilistic refinements","volume":"37","author":"Garc\u00eda-Crespo","year":"2010","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.yebeh.2020.107021_bb0185","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.1111\/epi.12211","article-title":"Epilepsy informatics and an ontology-driven infrastructure for large database research and patient care in epilepsy","volume":"54","author":"Sahoo","year":"2013","journal-title":"Epilepsia"},{"key":"10.1016\/j.yebeh.2020.107021_bb0190","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1002\/humu.22782","article-title":"The SCN1A mutation database: updating information and analysis of the relationships among genotype, functional alteration, and phenotype","volume":"36","author":"Meng","year":"2015","journal-title":"Hum Mutat"},{"key":"10.1016\/j.yebeh.2020.107021_bb0195","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.cca.2013.02.015","article-title":"Molecular aspects of Dravet syndrome patients in Taiwan","volume":"421","author":"Lin","year":"2013","journal-title":"Clin Chim Acta"},{"key":"10.1016\/j.yebeh.2020.107021_bb0200","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1016\/j.yebeh.2018.09.041","article-title":"Outcomes and comorbidities of SCN1A-related seizure disorders","volume":"90","author":"de Lange","year":"2019","journal-title":"Epilepsy Behav"},{"key":"10.1016\/j.yebeh.2020.107021_bb0205","doi-asserted-by":"crossref","first-page":"1807","DOI":"10.1111\/epi.13889","article-title":"Dravet syndrome and its mimics: beyond SCN1A","volume":"58","author":"Steel","year":"2017","journal-title":"Epilepsia"},{"key":"10.1016\/j.yebeh.2020.107021_bb0210","series-title":"Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume: demonstrations","first-page":"273","article-title":"Knowtator: a prot\u00e9g\u00e9 plug-in for annotated corpus construction","author":"Ogren","year":"2006"},{"key":"10.1016\/j.yebeh.2020.107021_bb0215","doi-asserted-by":"crossref","first-page":"882","DOI":"10.1016\/j.jbi.2013.07.003","article-title":"Semantator: semantic annotator for converting biomedical text to linked data","volume":"46","author":"Tao","year":"2013","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.yebeh.2020.107021_bb0220","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.jbi.2013.12.017","article-title":"Extracting important information from Chinese operation notes with natural language processing methods","volume":"48","author":"Wang","year":"2014","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.yebeh.2020.107021_bb0225","doi-asserted-by":"crossref","DOI":"10.1136\/bmjopen-2018-023232","article-title":"Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system","volume":"9","author":"Fonferko-Shadrach","year":"2019","journal-title":"BMJ Open"}],"container-title":["Epilepsy &amp; Behavior"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1525505020302006?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1525505020302006?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T18:34:06Z","timestamp":1761503646000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1525505020302006"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":45,"alternative-id":["S1525505020302006"],"URL":"https:\/\/doi.org\/10.1016\/j.yebeh.2020.107021","relation":{},"ISSN":["1525-5050"],"issn-type":[{"value":"1525-5050","type":"print"}],"subject":[],"published":{"date-parts":[[2020,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A propositional AI system for supporting epilepsy diagnosis based on the 2017 epilepsy classification: Illustrated by Dravet syndrome","name":"articletitle","label":"Article Title"},{"value":"Epilepsy & Behavior","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.yebeh.2020.107021","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107021"}}