Based on the introduction to the clinical phenotype extraction technique, the paper conducts systematic review on the extraction of clinical phenotype from Electronic Medical Records(EMR) of diabetes by taking advantages of the clinical decision support technique, natural language processing technique and machine learning method, and indicates that the deep learning method can be used to extract clinical phenotype from the EMR data more effectively and accurately, help clinical researchers better conduct clinical tests, and improve the medical care level.