Machine Learning Algorithms For Skin Disease Prediction

Abstract

Dermatology is the study and treatment of skin problems. These problems can vary depending on 
where you are and what season it is because of differences in weather. Human skin is complex, 
with many different textures, colors, and other features, making it difficult to understand and 
study.Despite many studies focusing on using computer vision to understand skin, not many have 
looked at it from a medical perspective. In rural areas where there aren't many doctors, people 
often ignore skin problems until they get worse.That's why there's a need for a reliable way to 
automatically detect skin diseases. So, we created a deep learning model, which is a type of 
machine learning, to tell the difference between healthy skin and skin with problems. Our model 
can also classify different types of skin diseases, like basal cell carcinoma or melanocytic 
nevi.Deep learning lets us train our model using large amounts of data quickly. This helps the 
computer learn how to make accurate predictions about skin problems. We used a type of deep 
learning called Convolutional Neural Networks (CNNs) because they're good at categorizing 
pictures. This technology helps support and improve the field of dermatology.