Attention-Based Deep Learning Framework for Multi-Class Classification of Liver Cirrhosis Stages Using Clinical and Biochemical Biomarkers
ABSTRACT liver cirrhosis staging is crucial to enhance prognosis among patients and optimize the therapeutic approach. An attention-based deep learning framework for automated cirrhosis stage classification using routinely collected clinical and biochemical features As solution 1: A dataset of 25,000 patient records w...