Disease Prediction Based on Transfer Learning in Individual Healthcare

Nowadays,emerging mobile medical technology and disease prevention become new trends of disease prevention and control.Based on this technology,we present disease prediction models based on transfer learning.Breast cancer disease data has been used to build our model.According to the neural networks,the basic model has been provided.With unlabeled data,transfer learning is a appropriate way to revise the module to increase accuracy.The test results show that the algorithm is suitable for data classification,especially for unlabeled health data.