| 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.