A Deep Learning Model Incorporating Knowledge Representation Vectors and Its Application in Diabetes Prediction.

The deep learning methods for various disease prediction tasks have become very effective and even surpass human experts. However, the lack of interpretability and medical expertise limits its clinical application. This paper combines knowledge representation learning and deep learning methods, and a disease prediction model is constructed. The model initially constructs the relationship graph between the physical indicator and the test value based on the normal range of human physical examination index. And the human physical examination index for testing value by knowledge representation learning model is encoded. Then, the patient physical examination data is represented as a vector and input into a deep learning model built with self-attention mechanism and convolutional neural network to implement disease prediction. The experimental results show that the model which is used in diabetes prediction yields an accuracy of 97.18% and the recall of 87.55%, which outperforms other machine learning methods (e.g., lasso, ridge, support vector machine, random forest, and XGBoost). Compared with the best performing random forest method, the recall is increased by 5.34%, respectively. Therefore, it can be concluded that the application of medical knowledge into deep learning through knowledge representation learning can be used in diabetes prediction for the purpose of early detection and assisting diagnosis.

[Immunomodulatory effects of polysaccharide of Cistanche Deserticola Y C Ma]

OBJECTIVE: To study the immunomodulatory effects of the polysaccharide Cistanche Deserticola Y C Ma (CDPS) and its mechanism. METHODS: The immunomodulatory function of CDPS was studied in vitro by observing the proliferation of murine thymus lymphocytes, which was measured with MTT method. The effects of CDPS on cell cycle and thymus intracellular calcium delivering were studied with FACScan flow cytometer. RESULTS: The inhibition function of ISO and DEX and high concentration of TNFgamma on lymphocyte proliferation was decreased with CDPS at higher concentration. It could stimulate the division of thymus lymphocyte and promote thymus intracellular calcium delivering. CONCLUSION: The enhancing effect of CDPS on murine thymus lymphocyte proliferation is related to its promotion on thymus intracellular calcium delivering.