Background Data measuring airborne pollutants, public health and environmental factors
are increasingly being stored and merged. These big datasets offer great potential, but also …

Thalassemia is an autosomal recessive genetic disorder that affects the beta or alpha
subunits of the hemoglobin structure. Thalassemia is classified as a hypochromic microcytic …

Deep learning algorithms are an important part of disease prediction and diagnosis by
analyzing health data. If not diagnosed and treated early, symptoms of nutritional anemia …

Abstract The symptoms of Iron Deficiency Anemia (IDA) and β-thalassemia (β-TT) disease
are similar and the distinction between them is time consuming and costly. There are several …

Thalassemia is viewed as a prevalent inherited blood disease that has gotten exorbitant
consideration in the field of medical research around the world. Inherited diseases have a …

Multi-label classification is one of the most dynamically growing fields of machine learning,
due to its numerous real-life applications in solving problems that can be described by …

Objective. Several discriminating techniques have been proposed to discriminate between β‐
thalassemia trait (βTT) and iron deficiency anemia (IDA). These discrimination techniques …

Background: Currently, discriminating Iron Deficiency Anemia (IDA) from other anemia
requires an expensive test (serum ferritin). Complete Blood Count (CBC) tests are less costly …

Thalassemia is a group of inherited blood disorders that happen when hemoglobin, the
protein in red blood cells that carries oxygen, is not made enough. It is found all over the …

Deficiency in healthy Red Blood Cells (RBC) leads to insufficient oxygen to be carried to
whole blood tissues. Many reasons cause such an issue like iron or vitamin deficiency which …