Setting up of a machine learning algorithm for the identification of severe liver fibrosis profile in the general US population cohort

References

Page 1

	Year	Citations
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall, Journal of Artificial Intelligence Research	2002	29.6K
Learning from Imbalanced Data Haibo He, Edwardo A. Garcia IEEE Transactions on Knowledge and Data Engineering EngineeringMachine LearningCritical ReviewText MiningData Science	2009	9.2K
VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY Glenn W. Brier Monthly Weather Review Forecasting MethodologyProbabilistic ForecastingEngineeringUncertainty QuantificationPredictive Analytics	1950	5.1K
EASL–EASD–EASO Clinical Practice Guidelines for the management of non-alcoholic fatty liver disease Journal of Hepatology ObesityMetabolic SyndromeMetabolic Associated SteatohepatitisHepatologyMetabolic Associated Steatotic Liver Disease	2016	4.8K
Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection†‡ Richard K. Sterling, Eduardo Lissen, Nathan Clumeck, Hepatology	2006	4.6K
A Simple Noninvasive Index Can Predict Both Significant Fibrosis and Cirrhosis in Patients With Chronic Hepatitis C Chun‐Tao Wai, Joel K. Greenson, Robert J. Fontana, Hepatology	2003	4.3K
The NAFLD fibrosis score Paul Angulo, Jason M. Hui, Giulio Marchesini, Hepatology	2007	3.1K
The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population Giorgio Bedogni, Stefano Bellentani, L. Miglioli, BMC Gastroenterology	2006	2.9K
Asymptotic Properties of Nearest Neighbor Rules Using Edited Data Dennis L. Wilson IEEE Transactions on Systems Man and Cybernetics EngineeringMachine LearningOptimization-based Data MiningClassification MethodData Science	1972	2.1K
FIB-4 Anaïs Vallet‐Pichard, Vincent Mallet, Bertrand Nalpas, Hepatology	2007	2K

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