Systematic Review of Machine Learning Models in Predicting the Risk of Bleed/Grade of Esophageal Varices in Patients with Liver Cirrhosis: A Comprehensive Methodological Analysis

Systematic Review of Machine Learning Models in Predicting the Risk of Bleed/Grade of Esophageal Varices in Patients with Liver Cirrhosis: A Comprehensive Methodological Analysis

Esophageal varices (EV) in liver cirrhosis carry high mortality risks. Traditional endoscopy, which is costly and subjective, prompts a shift towards machine learning (ML). This review critically evaluates ML applications in predicting bleeding risks and grading EV in patients with liver cirrhosis....

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書目詳細資料
Main Authors:	Malik, Sheza, Tenorio, Bettina Gabrielle, Moond, Vishali, Dahiya, Dushyant Singh, Vora, Ravi, Dbouk, Nader
格式:	text
出版:	Archīum Ateneo 2024
主題:	bleeding esophageal varices liver cirrhosis machine learning systematic review variceal grade Analytical, Diagnostic and Therapeutic Techniques and Equipment Diseases Gastroenterology Hepatology Medicine and Health Sciences
在線閱讀:	https://archium.ateneo.edu/asmph-pubs/262 https://doi.org/10.1111/jgh.16645
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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