AUTHOR(S): 

Sara Sweidan, Hazem El-Bakry, Shaker El-Sappagh, Sahar Sabah, Nikos Mastorakis

TITLE

Viral Hepatitis Diagnosis: A Survey of Artificial  Intelligent Techniques

KEYWORDS

Artificial Intelligence, CDSS, Viral Hepatitis Disease, HCV, HBV, fuzzy ontology

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.

Cite this paper

Sara Sweidan, Hazem El-Bakry, Shaker El-Sappagh, Sahar Sabah, Nikos Mastorakis. (2016) Viral Hepatitis Diagnosis: A Survey of Artificial  Intelligent Techniques. Biology and Biomedicine, 1, 106-116