Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

The proper prognosis of treatment response is crucial in any medical therapy to reduce the
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …

Hepatitis C is a contagious blood-borne infection, and it is mostly asymptomatic during the
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …

Abstract Hepatitis C Virus (HCV) is a viral infection that causes liver inflammation. Annually,
approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in …

Many real-world machine learning applications require building models using highly
imbalanced datasets. Usually, in medical datasets, the healthy patients or samples are …

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 …

Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has
therefore become an important research area to enhance patient survival rates. Several …

Prediction and classification of diseases are essential in medical science, as it attempts to
immune the spread of the disease and discover the infected regions from the early stages …

Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …