Journal of Biomedical Informatics 82 (2018) 88–105 Contents lists available at ScienceDirect Journal of Biomedical Informatics journal homepage: www.elsevier.com/locate/yjbin Classiﬁcation of forensic autopsy reports through conceptual graph-based document representation model ⁎ ⁎ a,e, a, b c Ghulam Mujtaba , Liyana Shuib , Ram Gopal Raj , Retnagowri Rajandram , d a Khairunisa Shaikh , Mohammed Ali Al-Garadi Department of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia Department of Artiﬁcial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia Department of Computer Science, Sukkur IBA University, Sukkur, Sind, Pakistan ARTIC L E I NF O ABSTRAC T Keywords: Text categorization has been used extensively in recent years to classify plain-text clinical reports. This study Text classiﬁcation employs text categorization techniques for the classiﬁcation of open narrative forensic autopsy reports. One of Supervised machine learning the key steps in text classiﬁcation is document representation. In document representation, a clinical report is Graph-based text classiﬁcation transformed into a format that is suitable
Journal of Biomedical Informatics – Elsevier
Published: Jun 1, 2018
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