Atopic dermatitis (eczema), an immune-mediated skin disease, continues to exhibit rising prevalence trends around the globe. As shown in the previous article, the worldwide patterns of the disease occurrence tend not to show any decline. The atopic dermatitis burden has also been stipulated to be on the rise due to associations with a number of co-morbidities.
In this article, the methods and techniques in choosing the appropriate models such as grouped tables and the corresponding graphs and plots are discussed.
Machine learning has become an indispensable tool in bioinformatics research. Biomarkers act as indicators of any biological state of the body. It can help to detect different kinds of diseases.
Allergy is hypersensitivity of the immune system or abnormal reaction of the immune system to foreign antigens. Allergy-related common diseases include allergic rhinitis, urticaria, eczema, anaphylaxis, conjunctivitis, and asthma. Allergy may affect the lungs, stomach, skin, nose, throat, and eyes.
The drug market in India not only manufactures drugs to be used in the country but also for export to other countries of the world (Basak, 2018). There are different international policies and laws as well as country-specific laws that pharma companies need to follow for the export of drugs.
Serological and molecular marker analysis helps in the identification of different alleles or genes responsible for the identification of specific EIDs.
The health insurance policies help in controlling the mortality rate occurring from different diseases as well as allergic conditions. It has been constituted that at least 20% of the total Indian population suffer from different allergic conditions. On the other hand, 30% of the allergic population die due to lack of accessibility to medications and treatments.
An atherosclerotic vascular disease which affects the blood vessels other than those in the coronary circulation is known as the Peripheral arterial disease (PAD) (Espinola-Klein, 2011).