While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for clinical adoption. Healthcare professionals require AI models to not only be ...

CA is commonly used in disease prediction models ... (SENet), and multitask learning was developed to estimate ECG-BA from 12-lead ECGs. The model was optimized using the Adam optimizer, which ...