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publication name Viral Hepatitis Diagnosis: A Survey of Artificial Intelligent Techniques
Authors Sara Sweidan;Hazem El-Bakry; Shaker El-Sappagh; sahar sabah; Nikos Mastorakis
year 2016
keywords Artificial Intelligence, CDSS, Viral Hepatit is Disease, HCV, HBV, fuzzy ontology
journal International Journal of Biology and Biomedicine
volume 1
issue Not Available
pages 11
publisher Not Available
Local/International International
Paper Link Not Available
Full paper download
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.

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