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 …

Supervised machine learning algorithms have been a dominant method in the data mining
field. Disease prediction using health data has recently shown a potential application area …

Haemoglobin (Hb) electrophoresis is a method of blood testing used to detect thalassaemia.
However, the interpretation of the result of the electrophoresis test itself is a complex task …

Thalassemia is one of the incurable blood disorders inherited from parents with its history.
This disease causes abnormality in the blood cells, specifically the protein composition such …

Thalassemia is one kind of genetic blood disorder, which caused if the human body cannot
produce sufficient hemoglobin. Hemoglobin known to be a very common essential part in …

Background Hemoglobinopathies, the most common inherited blood disorder, are frequently
underdiagnosed. Early identification of carriers is important for genetic counseling of …

According to government officials, automakers, and academics, vehicular ad hoc networks
(VANET) may be an effective tool for improving safety and efficiency on the road. For safety …

Objectives This article presents the use of machine learning techniques such as artificial
neural networks, K-nearest neighbors (KNN), naive Bayes, and decision trees in the …

Artificial intelligence is becoming an important part in our life. Machine learning and Deep
learning are the two derivatives of Artificial intelligence. Machine learning is the emerging …

Our study focuses on using data mining methods, such as XGBoost, Hyperparameter Grid
Search, and SVM, to diagnose diabetes. Diabetes is a degenerative disease characterized …