The paper introduces unsupervised deep learning methods such as autoencoder, Generative Adversarial Network (GAN) and BERT and their applications and challenges in Electronic Health Record (EHR) data mining, and points out that unsupervised deep learning technology improves the efficiency of medical knowledge discovery and clinical decision support and promotes the development of personalized medicine.