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1دورية أكاديمية
المؤلفون: Heather Davies, Goran Nenadic, Ghada Alfattni, Mercedes Arguello Casteleiro, Noura Al Moubayed, Sean O. Farrell, Alan D. Radford, Peter-John M. Noble
المصدر: Frontiers in Veterinary Science, Vol 11 (2024)
مصطلحات موضوعية: big data, text mining, machine learning, neural language modeling, clinical records, companion animals, Veterinary medicine, SF600-1100
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Ghada Alfattni, Niels Peek, Goran Nenadic, Fergus Caskey
المصدر: International Journal of Population Data Science, Vol 1, Iss 1 (2017)
مصطلحات موضوعية: Demography. Population. Vital events, HB848-3697
وصف الملف: electronic resource
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المؤلفون: Meghna Jani, Ghada Alfattni, Maksim Belousov, Yuanyuan Zhang, Michael Cheng, Karim Webb, Andrew Kanter, William Dixon, Goran Nenadic
المصدر: Rheumatology. 62
مصطلحات موضوعية: Rheumatology, Pharmacology (medical)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e35af48471a7bad355b7a0a3a8e6628e
https://doi.org/10.1093/rheumatology/kead104.092 -
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المؤلفون: Ghada Alfattni, Niels Peek, Maksim Belousov, Goran Nenadic
المصدر: JMIR Medical Informatics
JMIR Medical Informatics, Vol 9, Iss 5, p e24678 (2021)
Alfattni, G, Belousov, M, Peek, N & Nenadic, G 2021, ' Extracting Drug Names and Associated Attributes From Discharge Summaries : Text Mining Study ', JMIR medical informatics, vol. 9, no. 5, e24678 . https://doi.org/10.2196/24678مصطلحات موضوعية: Conditional random field, Word embedding, Relation (database), Computer science, Computer applications to medicine. Medical informatics, R858-859.7, Health Informatics, computer.software_genre, 01 natural sciences, 03 medical and health sciences, Health Information Management, information extraction, natural language processing, CRFS, 030304 developmental biology, 0303 health sciences, Original Paper, discharge summaries, business.industry, Deep learning, Relationship extraction, 0104 chemical sciences, 010404 medicinal & biomolecular chemistry, Information extraction, electronic health records, medication prescriptions, Artificial intelligence, business, computer, Natural language processing, Word (computer architecture)
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المؤلفون: Ghada Alfattni, Goran Nenadic, Niels Peek
المصدر: Alfattni, G, Peek, N & Nenadic, G 2020, ' Extraction of Temporal Relations from Clinical Free Text: A Systematic Review of Current Approaches ', Journal of Biomedical Informatics, pp. 103488 . https://doi.org/10.1016/j.jbi.2020.103488
مصطلحات موضوعية: Conditional random field, Text corpus, Relation (database), Computer science, Information Storage and Retrieval, Health Informatics, computer.software_genre, Field (computer science), Task (project management), Time, Machine Learning, 03 medical and health sciences, 0302 clinical medicine, Selection (linguistics), Data Mining, Electronic Health Records, 030212 general & internal medicine, Representation (mathematics), 030304 developmental biology, Natural Language Processing, 0303 health sciences, business.industry, Computer Science Applications, Support vector machine, Artificial intelligence, business, computer, Natural language processing
وصف الملف: application/pdf
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المؤلفون: Ghada Alfattni, Niels Peek, Goran Nenadic
المصدر: Alfattni, G, Nenadic, G & Peek, N 2021, ' Attention-Based Bidirectional Long Short-Term Memory Networks for Extracting Temporal Relationships from Clinical Discharge Summaries ', Journal of Biomedical Informatics, vol. 123, 103915 . https://doi.org/10.1016/j.jbi.2021.103915
مصطلحات موضوعية: Relation (database), Computer science, Health Informatics, Context (language use), Discharge summaries, computer.software_genre, NLP, Field (computer science), TLINKs, Humans, Language, Natural Language Processing, business.industry, Deep learning, Clinical text, Relationship extraction, Patient Discharge, Semantics, Computer Science Applications, Memory, Short-Term, Artificial intelligence, Source text, business, computer, Natural language processing, Word (computer architecture), Sentence
وصف الملف: application/pdf
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المؤلفون: Goran Nenadic, Ghada Alfattni, Niels Peek
المصدر: Journal of Biomedical Informatics. 113:103663
مصطلحات موضوعية: Computer science, business.industry, Extraction (chemistry), Text messaging, Health Informatics, Artificial intelligence, Current (fluid), computer.software_genre, business, computer, Natural language processing, Computer Science Applications
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المؤلفون: Goran Nenadic, Fergus Caskey, Ghada Alfattni, Niels Peek
المصدر: International Journal of Population Data Science. 1
مصطلحات موضوعية: Information Systems and Management, Computer science, business.industry, Concordance, Best practice, Medical record, Health Informatics, Statistical model, Unstructured data, Data science, Workflow, Text mining, Medical diagnosis, business, Information Systems, Demography
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::996a369d25be24072200af5775f4a060
https://doi.org/10.23889/ijpds.v1i1.353 -
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المصدر: 2014 International Conference on Web and Open Access to Learning (ICWOAL).
مصطلحات موضوعية: Multimedia, Computer science, End user, Interface (computing), Learning environment, Special needs, Open learning, Computer keyboard, computer.software_genre, Morse code, law.invention, law, Human–computer interaction, computer, Word (computer architecture)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::37d46c03f9f351eb130db595fc45fd31
https://doi.org/10.1109/icwoal.2014.7009229