AIMC Topic: Hepatic Encephalopathy

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Machine Learning Classification of Cirrhotic Patients with and without Minimal Hepatic Encephalopathy Based on Regional Homogeneity of Intrinsic Brain Activity.

PloS one Mar 15, 2016
Machine learning-based approaches play an important role in examining functional magnetic resonance imaging (fMRI) data in a multivariate manner and extracting features predictive of group membership. This study was performed to assess the potential ...
Hepatic Encephalopathy Nerve Net Brain Liver Cirrhosis Female Male Support Vector Machine Adult Middle Aged Magnetic Resonance Imaging Humans Machine Learning
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Machine learning prediction of hepatic encephalopathy for long-term survival after transjugular intrahepatic portosystemic shunt in acute variceal bleeding.

World journal of gastroenterology Jan 28, 2025
BACKGROUND: Transjugular intrahepatic portosystemic shunt (TIPS) is an effective intervention for managing complications of portal hypertension, particularly acute variceal bleeding (AVB). While effective in reducing portal pressure and preventing re...
Retrospective Studies Female Risk Factors Aged Adult Postoperative Complications Male Hepatic Encephalopathy Logistic Models Humans Portasystemic Shunt, Transjugular Intrahepatic Treatment Outcome Machine Learning Esophageal and Gastric Varices Hypertension, Portal Middle Aged Gastrointestinal Hemorrhage Risk Assessment Kaplan-Meier Estimate
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[Evaluation of brain age changes in patients with liver cirrhosis and hepatic encephalopathy with deep learning models based on structural magnetic resonance imaging].

Zhonghua yi xue za zhi Jan 23, 2024
To investigate the brain aging in patients with cirrhosis and hepatic encephalopathy(HE), constructed a prediction model of brain age based on deep learning and T high-resolution MRI, and try to reveal the specific regions where cirrhosis and HE acc...
Brain Cross-Sectional Studies Deep Learning Humans Hepatic Encephalopathy Liver Cirrhosis Magnetic Resonance Imaging
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
beta-Lactams Adrenergic beta-Antagonists Clinical Decision Rules Mortality Lactulose End Stage Liver Disease Rifaximin Gastrointestinal Hemorrhage Proton Pump Inhibitors Infections Hepatic Encephalopathy Paracentesis Gastrointestinal Agents Water-Electrolyte Imbalance Patient Readmission Hydrothorax Ascites Humans Machine Learning Anti-Bacterial Agents Cohort Studies ROC Curve Logistic Models Liver Cirrhosis Support Vector Machine Kidney Diseases Male Middle Aged Severity of Illness Index Reproducibility of Results Aged Female
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Does advanced chronic kidney disease impact transjugular intrahepatic portosystemic shunt efficacy and safety?

Acta gastro-enterologica Belgica Jan 1, 2017
BACKGROUND AND STUDY AIMS: There are currently limited data available summarizing the clinical outcomes and safety of transjugular intrahepatic portosystemic shunts (TIPS) in cases of advanced chronic kidney disease (CKD). The study aimed to assess e...
Hepatic Encephalopathy Illinois Paracentesis Diuretics Gastrointestinal Hemorrhage Incidence Portasystemic Shunt, Transjugular Intrahepatic Renal Insufficiency, Chronic Humans Male Treatment Outcome Female Middle Aged Glomerular Filtration Rate Severity of Illness Index Ascites
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