Studies from Nanjing Medical University Update Current Data on Type 2 Diabetes (Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary...).

A study conducted by researchers at Nanjing Medical University in China has developed a deep learning framework called depression and anxiety prediction (DAP) to assess the psychological risk of type 2 diabetes mellitus (T2DM) patients. The DAP model consists of two sub-models: a pre-trained model that uses unlabeled discharge records for unsupervised contrastive learning, and a fine-tuned model that uses case-control cohorts selected from electronic health records (EHRs). The DAP model effectively predicted post-discharge depression and anxiety in T2DM patients, highlighting its potential for early detection and intervention in mental health conditions, ultimately improving outcomes for diabetes patients. [Extracted from the article]