AIMC Topic: Liver Failure

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Interpretable machine learning model for predicting post-hepatectomy liver failure in hepatocellular carcinoma.

Scientific reports May 3, 2025
Post-hepatectomy liver failure (PHLF) is a severe complication following liver surgery. We aimed to develop a novel, interpretable machine learning (ML) model to predict PHLF. We enrolled 312 hepatocellular carcinoma (HCC) patients who underwent hepa...
Humans Machine Learning Algorithms Prospective Studies Female Aged Liver Neoplasms Adult Carcinoma, Hepatocellular Male Hepatectomy Middle Aged Liver Failure Postoperative Complications ROC Curve
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Controlling nutritional status score predicts posthepatectomy liver failure: an online interpretable machine learning prediction model.

European journal of gastroenterology & hepatology Mar 5, 2025
BACKGROUND AND AIMS: Posthepatectomy liver failure (PHLF) remains a severe complication after hepatectomy for hepatocellular carcinoma (HCC) and accurate preoperative evaluation and predictive measures are urgently needed. We investigated the impact ...
Liver Failure Liver Neoplasms Carcinoma, Hepatocellular Predictive Value of Tests Hepatectomy Nutritional Status Machine Learning Algorithms Female Risk Factors Aged Male Middle Aged Nutrition Assessment Risk Assessment Postoperative Complications Humans
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Preoperative prediction of post hepatectomy liver failure after surgery for hepatocellular carcinoma on CT-scan by machine learning and radiomics analyses.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Nov 15, 2024
INTRODUCTION: No instruments are available to predict preoperatively the risk of posthepatectomy liver failure (PHLF) in HCC patients. The aim was to predict the occurrence of PHLF preoperatively by radiomics and clinical data through machine-learnin...
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Postoperative Complications Liver Neoplasms Carcinoma, Hepatocellular Italy Hepatectomy Liver Failure Female Aged Radiomics Male Middle Aged
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Predicting post-hepatectomy liver failure in patients with hepatocellular carcinoma: nomograms based on deep learning analysis of gadoxetic acid-enhanced MRI.

European radiology Nov 12, 2024
OBJECTIVES: This study aimed to develop nomograms for predicting post-hepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC), using deep learning analysis of Gadoxetic acid-enhanced hepatobiliary (HBP) MRI.
Liver Failure Gadolinium DTPA Middle Aged Postoperative Complications Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Nomograms Contrast Media Magnetic Resonance Imaging Predictive Value of Tests Hepatectomy Humans Retrospective Studies Female Aged Male
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Online interpretable dynamic prediction models for clinically significant posthepatectomy liver failure based on machine learning algorithms: a retrospective cohort study.

International journal of surgery (London, England) Nov 1, 2024
BACKGROUND: Posthepatectomy liver failure (PHLF) is the leading cause of mortality in patients undergoing hepatectomy. However, practical models for accurately predicting the risk of PHLF are lacking. This study aimed to develop precise prediction mo...
Retrospective Studies Female Aged Adult Male Humans Machine Learning Algorithms Middle Aged Risk Assessment Postoperative Complications Hepatectomy Liver Failure
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Identification of exacerbation risk in patients with liver dysfunction using machine learning algorithms.

PloS one Oct 9, 2020
The prediction of the liver failure (LF) and its proper diagnosis would lead to a reduction in the complications of the disease and prevents the progress of the disease. To improve the treatment of LF patients and reduce the cost of treatment, we bui...
Risk Factors Male ROC Curve Area Under Curve International Normalized Ratio Bilirubin Liver Failure Creatine Humans Machine Learning Female
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Alcoholic liver disease: A registry view on comorbidities and disease prediction.

PLoS computational biology Sep 22, 2020
Alcoholic-related liver disease (ALD) is the cause of more than half of all liver-related deaths. Sustained excess drinking causes fatty liver and alcohol-related steatohepatitis, which may progress to alcoholic liver fibrosis (ALF) and eventually to...
Models, Statistical Denmark Registries Liver Failure Liver Diseases, Alcoholic Humans Machine Learning Female Male Middle Aged Comorbidity Risk Factors Aged Aged, 80 and over
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Artificial neural network model for preoperative prediction of severe liver failure after hemihepatectomy in patients with hepatocellular carcinoma.

Surgery Aug 11, 2020
BACKGROUND: Posthepatectomy liver failure is a worrisome complication after major hepatectomy for hepatocellular carcinoma and is the leading cause of postoperative mortality. Recommendations for hepatectomy for hepatocellular carcinoma are based on ...
Humans Neural Networks, Computer Hepatectomy Liver Failure Risk Assessment Postoperative Complications Liver Neoplasms Carcinoma, Hepatocellular Logistic Models Female Aged Adult Male Middle Aged
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Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data.

Pediatric transplantation Jul 22, 2019
Machine learning analyses allow for the consideration of numerous variables in order to accommodate complex relationships that would not otherwise be apparent in traditional statistical methods to better classify patient risk. The SPLIT registry data...
Anastomosis, Surgical Liver Failure Predictive Value of Tests Biliary Tract Surgical Procedures Registries Liver Transplantation Pediatrics Humans Machine Learning Software Algorithms Infant Adolescent Child, Preschool Child Treatment Outcome Prospective Studies Risk Factors Young Adult Adult Risk Assessment
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Low vitamin D at ICU admission is associated with cancer, infections, acute respiratory insufficiency, and liver failure.

Nutrition (Burbank, Los Angeles County, Calif.) Oct 24, 2018
OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, this association in patients in the intensive care unit (ICU) has not been fully elucidated. The aim of this study was to investigate whether the serum...
Patient Admission Respiratory Insufficiency APACHE Infections Liver Failure Organ Dysfunction Scores Neoplasms Respiration, Artificial Comorbidity Severity of Illness Index Time Factors Aged Hospital Mortality Adult Vitamin D Cross-Sectional Studies Vitamin D Deficiency Male C-Reactive Protein Middle Aged Acute Disease Humans Prognosis Critical Illness Intensive Care Units Female
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