Deep learning algorithms identify liver transplant recipients at risk for complications

Deep learning algorithms identify liver transplant recipients at risk for complications

Deep learning algorithms outperformed logistic regression models and predicted long-term outcome after liver transplantation with longitudinal data, according to study results.“Physicians could use these algorithms at routine follow-up visits to identify liver transplant recipients at risk for adverse outcomes and prevent these complications by modifying management based on ranked features,” Osvald Nitski, BASc, from the faculty of applied science and engineering, University of Toronto, in Canada, and colleagues wrote.Nitski and colleagues performed machine learning analysis ofRead More

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