A Dendritic Neuron Model for Disease Prediction

Disease prediction is one of the common applications in machine learning. On account of the powerful ability of data learning and exploration, machine learning has significant advantages in disease prediction and assisting clinical decision-making, which can effectively promote the development of medical work. The structure of traditional neural network is complex and requires a large number of neurons. In this paper, the dendritic neuron model is introduced to predict the disease. The experiment proves that the model has the advantages of simple structure, high prediction accuracy and fast convergence, which provides a feasible idea for the application of machine learning in disease prediction.