GUI: Guided trajectory construction policy transfer and groupwise preference learning for liver disease prediction
Liver disease prediction from electronic health records is clinically important but remains challenging because clinical evidence is heterogeneous, weakly discriminative, and often requires guideline-consistent interpretation. Existing approaches primarily optimize outcome-level classification accuracy, whereas the und...