The prediction of hairfall pattern in a person using artificial intelligence for better care and treatment

Alopecia, also known as hair loss, is a term used to describe hair loss from the scalp or other parts of the body. It can be caused by a number of factors, such as genetics, hormonal fluctuations, illness or external stressors. The five typical types of hair loss are male pattern baldness, which is typically hereditary and hormonal, characterized by receding hairline and thinning of the crown, then female pattern baldness, which usually causes general thinning without noticeable receding of the hairline, especially the crown. Genetic and hormonal factors are involved. Next comes Alopecia Areata, which results in round bald spots caused by sudden patchy hair loss that the immune system has targeted in the hair follicle. Then there is Telogen Effluvium, which denotes temporary hair loss is caused by illness, stress or hormonal fluctuations, resulting in hair loss especially in the seam and hairline area. Finally, there is Traction Alopecia, which causes the hair to gradually fall out and results in tight combs or constant pulling. This study aims to utilize the AI-related methods to predict these above mentioned hair loss patterns.