“Improving Early Prediction of Type 2 Diabetes with Multi-Feature Map Integrated Attention Model Using Irregular Health Examination Records”

https://pubmed.ncbi.nlm.nih.gov/38117618

The Multi-Feature Map Integrated Attention Model (MFMAM) improves early prediction of Type 2 Diabetes using irregular health examination records by considering health information before diagnosis, clinical knowledge, and local/global volatility of high-dimensional features, outperforming baseline models.