Hepatitis C is considered a deadly disease as mortality rate in the patients suffering from this
disease is very high, if not properly treated. This research proposes an IOMT based …

Machine learning algorithms are excellent techniques to develop prediction models to
enhance response and efficiency in the health sector. It is the greatest approach to avoid the …

Background/Aim: Using machine learning approaches as non-invasive methods have been
used recently as an alternative method in staging chronic liver diseases for avoiding the …

Medical decision support systems have been on the rise with technological advances and
they have been the subject of many studies. Developing an effective medical decision …

Esophageal Varices is one of the most common side-effects of liver cirrhosis diseases which
is detected by Upper endoscopy. Screening all patients implies many endoscopies will be …

Abstract Disease classification using Artificial Intelligence (AI) is one of the emerging areas
for medical professionals to diagnose the disease. There are common diseases like breast …

Background/Aim. Respectively with the prevalence of chronic hepatitis C in the world, using
noninvasive methods as an alternative method in staging chronic liver diseases for avoiding …

Background and objective Though there are many advantages of pegylated interferon‐α
(PegIFN‐α) treatment to chronic hepatitis B (CHB) patients, the response rate of PegIFN‐α is …

Hepatitis C which is a widely spread disease all over the world is a fatal liver disease
caused by Hepatitis C Virus (HCV). The only approved therapy is interferon plus ribavirin …

The standard method for diagnosing varices by upper endoscopy is invasive, costly, and has
many drawbacks. To overcome these drawbacks, this study aims to build a predictive …