Novel machine learning models demonstrated better performance in predicting clinically significant posthepatectomy liver failure compared to traditional clinical scores, with pre- and postoperative artificial neural network models achieving excellent accuracy. These online interpretable models could serve as valuable decision support tools for identifying high-risk patients before and after surgery, potentially improving outcomes and mortality rates.
Journal Article by Jin Y, Li W (…) Dai X et 7 al. in Int J Surg
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