objectives: coronary artery disease (cad) is caused by atherosclerosis in coronary arteries and results in cardiac arrest and heart attack. angiography is one of the most accurate methods to diagnose heart disease, it incurs high expenses and comes with side effects. data mining is the extraction of hidden predictive information and unknown data, patterns, relationships and knowledge by explori...

today’s knowledge on oesophageal adenocarcinoma and its rising incidence has encouraged researcher to illustrate relationship between barrett’s disease and progression to adenocarcinoma. the incidence of this disease has been accelerated sharply in current decades since people life has changed. studies have been demonstrated that several potential factors including genetical  and environmental ...

many researchers adopt local binary pattern for pattern analysis. however, the long histogram created by local binary pattern is not suitable for large-scale facial database. this paper presents a simple facial pattern descriptor for facial expression recognition. local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...

nowadays diabetes disease is one of the main problems of health domain and it’s known as the fourth factor of death in the world. the main problem with this dangerous disease is the late or weak diagnosis. the reason of weak diagnosis is because sometimes doctors aren’t able to select the right patterns or they can’t use the standard patterns very well, so the outcome is that the disease will b...

In ophthalmology, early fundus screening is an economic and effective way to prevent blindness caused by ophthalmic diseases. Clinically, due the lack of medical resources, manual diagnosis time-consuming may delay condition. With development deep learning, some researches on diseases have achieved good results, however, most them are just based one disease. During screening, ophthalmologists u...

CD8 + T cell recognition is detected throughout the SARS-CoV-2 genome and associated with COVID-19 disease severity.