Hair Loss Diagnosis Using Artificial Neural Networks

The study explored the use of artificial neural networks to predict hair loss based on eight factors: gender, age, genetic factors, surgery, pregnancy, zinc deficiency, iron deficiency, anemia, and the use of cosmetics. The data was divided into 60% for training, 20% for validation, and 20% for testing the neural networks. Various training algorithms were implemented and compared, suggesting that neural networks could effectively predict hair loss.