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Viral Hepatitis Diagnosis: A Survey of Artificial Intelligent Techniques

International Journal of Biology and Biomedicine • 2016
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Publication Information
Authors Sara Sweidan;Hazem El-Bakry; Shaker El-Sappagh; sahar sabah; Nikos Mastorakis
Keywords Artificial Intelligence, CDSS, Viral Hepatit is Disease, HCV, HBV, fuzzy ontology
Journal International Journal of Biology and Biomedicine
Publisher Not Available
Volume 1
Issue Not Available
Pages 11
publication.type International
Paper Link Not Available
Supplementary Materials Not Available
Abstract
Background;
The using of clinical decision support systems (CDSSs) may improve chronic disease management, which requires recurrent visits to multiple health professionals, ongoing disease control, treatment monitoring, and patient behavior modification. The objective of this survey is to determine if these CDSSs improve
the processes of chronic care including diagnosis, treatment, and monitoring of diseases.
Methods
:
The survey covers articles extracted from relevant databases. It uses search terms related to information
technology and viral hepatitis which are published between 2000 and 2016.
Results:
Overall, 80% of studies asserted the benefits provided by information technology (IT); 75% of studies
asserted the benefits concerned with medical domain;25% of studies do not clearly define the added benefits due
IT. The CDSS current state requires many improvements to support the management of liver diseases such as
HCV, liver fibrosis, and cirrhosis.