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Viral Hepatitis Diagnosis: A Survey of Artificial Intelligent Techniques

International Journal of Biology and Biomedicine • 2016
العودة
معلومات البحث
المؤلفون Sara Sweidan;Hazem El-Bakry; Shaker El-Sappagh; sahar sabah; Nikos Mastorakis
الكلمات المفتاحية Artificial Intelligence, CDSS, Viral Hepatit is Disease, HCV, HBV, fuzzy ontology
المجلة العلمية International Journal of Biology and Biomedicine
الناشر Not Available
المجلد 1
العدد Not Available
الصفحات 11
publication.type International
رابط البحث Not Available
المواد المرفقة Not Available
الملخص
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.