Patient's data is gathered during medical procedures in order to assist the doctor in making
an accurate diagnosis of the patient's health. This information may consist of straightforward …

The increase in the amount of big data and the emergence of analytics technologies has
created the opportunity for applying algorithm development techniques using machine …

Objective: we aimed to use the Classification and Regression Tree (CART) to predict
differential diagnosis of ESD. Methods: we used the Cross Industry Standard Process for …

Ensemble learning is one of the powerful machine learning approaches that is generally
used to strengthen models by combining the performances of several weak learners. It holds …

Now a days Erythemato-squamous diseases is one of the most common and dangerous
skin disease peoples across worldwide are suffering from disease. This is a popular class of …

Erythemato-squamous diseases (ESD) diagnosis is a significant challenge in dermatology. It
is divided into six categories. Artificial intelligence models have been applied to categorize …

As a recent trend, various computational intelligence and machine learning approaches
have been used for mining inferences hidden in the large clinical databases to assist the …

In today's word skin diseases and lesions have become one among the most common
diseases that people suffer across various age groups. Typical skin illnesses that people …

Many Information can be extracted from the data that are hidden in images. The extraction
process can be done using data mining techniques. In this paper, the researcher will use a …

ABSTRACT Erythemato-squamous diseases (ESDs), also known as erythrodermas, are a
group of dermatological disorders characterized by both redness (erythema) and scaling …