Machine learning to predict progression of non‐alcoholic fatty liver to non‐alcoholic steatohepatitis or fibrosis
Author:
Affiliation:
1. Department of Data Science Houston Texas USA
2. Department of Research and Writing Houston Texas USA
3. Department of Leadership Houston Texas USA
Publisher
Wiley
Subject
Gastroenterology,Hepatology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jgh3.12716
Reference53 articles.
1. Non-alcoholic fatty liver disease: The mist gradually clears
2. Fibrosis Progression in Nonalcoholic Fatty Liver vs Nonalcoholic Steatohepatitis: A Systematic Review and Meta-analysis of Paired-Biopsy Studies
3. Natural History of Simple Steatosis or Nonalcoholic Fatty Liver
4. Patient-Reported Outcomes and the Economic Effects of Nonalcoholic Fatty Liver Disease and Nonalcoholic Steatohepatitis: The Value Proposition
5. Variables Associated With Inpatient and Outpatient Resource Utilization Among Medicare Beneficiaries With Nonalcoholic Fatty Liver Disease With or Without Cirrhosis
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1. Deep learning for predicting fibrotic progression risk in diabetic individuals with metabolic dysfunction-associated steatotic liver disease initially free of hepatic fibrosis;Heliyon;2024-07
2. Prognostic Impact of Metabolic Syndrome and Steatotic Liver Disease in Hepatocellular Carcinoma Using Machine Learning Techniques;Metabolites;2024-05-27
3. An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis;Scientific Reports;2024-04-13
4. Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005–2023);Computer Methods and Programs in Biomedicine;2024-02
5. Machine learning approaches for early detection of non-alcoholic steatohepatitis based on clinical and blood parameters;Scientific Reports;2024-01-30
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