Comparative Analysis of Machine Learning Algorithms for Liver Disease Prediction: SVM, Logistic Regression, and Decision Tree

References (22)

1. 1 Prediction of fatty liver disease using machine learning algorithms [DOI]
2. 2 A Revised Model for End-Stage Liver Disease Optimizes Prediction of Mortality Among Patients Awaiting Liver Transplantation [DOI]
3. 3 Performance analysis of classification algorithms on early detection of liver disease [DOI]
4. 4 Automated stratification of liver disease in ultrasound: An online accurate feature classification paradigm [DOI]
5. 5 Machine learning enables new insights into genetic contributions to liver fat accumulation [DOI]
6. 6 Software-based Prediction of Liver Disease with Feature Selection and Classification Techniques [DOI]
7. 7 A comparative analysis of boosting algorithms for chronic liver disease prediction [DOI]
8. 8 Monitoring multistage healthcare processes using state space models and a machine learning based framework [DOI]
9. 9 Multiclass liver disease prediction with adaptive data preprocessing and ensemble modeling [DOI]
10. 10 Noninvasive Assessment of Liver Fibrosis: Current and Future Clinical and Molecular Perspectives [DOI]
11. 11 Nutrient sensor–mediated programmed nonalcoholic fatty liver disease in low birthweight offspring [DOI]
12. 12 Machine learning-based energy monitoring method applied to the HVAC systems electricity demand of an Italian healthcare facility [DOI]
13. 13 A fusion of machine learning algorithms and traditional statistical forecasting models for analyzing American healthcare expenditure [DOI]
14. 14 Application of the Revised Cardiac Risk Index to the Model for End-Stage Liver Disease Score Improves the Prediction of Cardiac Events in Patients Undergoing Liver Transplantation [DOI]
15. 15 Improving the Prediction of Mortality in the High Model for End-Stage Liver Disease Score Liver Transplant Recipient: A Role for the Left Atrial Volume Index [DOI]
16. 16 Utilizing Natural Language Processing (NLP) to Accurately Identify Fatty Liver Disease [DOI]
17. 17 Vitamin-d receptor (VDR) polymorphism and types of HBV related liver disease along with an SVM based disease prediction model [DOI]
18. 18 The development of the diabetes liver fibrosis score: A new prediction model to detect advanced fibrosis in diabetics with nonalcoholic fatty liver disease [DOI]
19. 19 An Automatic Grading Method of Liver Cirrhosis from Abdominal CT Images [DOI]
20. 20 Classification of Liver Cirrhosis with Statistical Analysis of Texture Parameters
21. 21 587 MACHINE LEARNING MODEL CORRECTLY IDENTIFIES PATIENTS WITH ADVANCED LIVER FIBROSIS WHICH ARE INDETERMINATE BY FIB-4 INDEX IN NON-ALCOHOLIC FATTY LIVER DISEASE. [DOI]
22. 22 Patient-Specific Genome-Scale Metabolic Models for Individualized Predictions of Liver Disease [DOI]

Cited by 79

Showing 20 of 79 known citations — external sources report more than can currently be individually listed.

Related research

• Seasonally Separated Logistic Models to Assess the Impact of Climate Variables on Occurrence of Rainfall over the Bagmati River Basin of Nepal — shares topic coverage
• Data Analyzing by Attention to Weighted Multicollinearity in Logistic Regression Applicable in Industrial Data — shares topic coverage
• Determinants of Knowledge and Attitude of Extension Professionals to Climate Change in Anambra State, Nigeria: A Multivariate Logistic Analysis — shares topic coverage
• Influence of Household Characteristics on Food Security Status of Smallholder Farmers in Kilifi Sub-County, Kenya — shares topic coverage
• Bayesian and Classical Approaches Applied on Saving Habits of Employees Data: A Comparative Study — shares topic coverage