Usability and Clinical Effectiveness of an Interpretable Deep Learning Framework for Post-Hepatectomy Liver Failure Prediction
Conditions: Post-hepatectomy Liver Failure; Hepatocellular Carcinoma; Artificial Intelligence Interventions: Other: The explanation of deep learning framework (VAE-MLP) , including counterfactual explanations and layerwise relevance propagation; Other: The model prediction; Other: The model prediction and the explanation of deep learning framework (VAE-MLP) , including counterfactual explanati ons and layerwise relevance propagation Sponsors: Maastricht University; First Affiliated Hospital, Sun Yat-Sen University Not yet recruiting
Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials
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