Classification of forensic autopsy reports through conceptual graph-based document representation model

Classification of forensic autopsy reports through conceptual graph-based document representation... 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Biomedical Informatics Elsevier

Classification of forensic autopsy reports through conceptual graph-based document representation model

Loading next page...
 
/lp/elsevier/classification-of-forensic-autopsy-reports-through-conceptual-graph-kpkkATLGJN
Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Inc.
ISSN
1532-0464
eISSN
1532-0480
D.O.I.
10.1016/j.jbi.2018.04.013
Publisher site
See Article on Publisher Site

Abstract

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

Journal of Biomedical InformaticsElsevier

Published: Jun 1, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off