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Publications by E Louise Thomas
Predicting and Elucidating the Etiology of Fatty Liver Disease Using a Machine Learning-Based Approach: An IMI DIRECT Study
Determinants of Adiposity During Preweaning Postnatal Growth in Appropriately Grown and Growth-Restricted Term Infants
Pediatric Research
Child Health
Pediatrics
Perinatology
Related publications
Raman Spectroscopic Histology Using Machine Learning for Non-Alcoholic Fatty Liver Disease
FEBS Letters
Genetics
Cell Biology
Molecular Biology
Biochemistry
Structural Biology
Biophysics
Predicting the Body Weight of Balochi Sheep Using a Machine Learning Approach
Turkish Journal of Veterinary and Animal Sciences
Veterinary
A Survey on Predicting Advanced Liver Fibrosis Using Different Machine Learning Algorithms
International Journal of Scientific Research in Science, Engineering and Technology
Laboratory Parameter-Based Machine Learning Model for Excluding Non-Alcoholic Fatty Liver Disease (NAFLD) in the General Population
Alimentary Pharmacology and Therapeutics
Hepatology
Pharmacology
Gastroenterology
Heart Disease Prediction Based on External Factors: A Machine Learning Approach
International Journal of Advanced Computer Science and Applications
Computer Science
Predicting the Perceived Level of Reverberation Using Machine Learning
Predicting Genome-Wide Redundancy Using Machine Learning
BMC Evolutionary Biology
Evolution
Ecology
Systematics
Behavior
High-Throughput, Machine Learning-Based Quantification of Steatosis, Inflammation, Ballooning, and Fibrosis in Biopsies From Patients With Nonalcoholic Fatty Liver Disease
Clinical Gastroenterology and Hepatology
Hepatology
Gastroenterology
Diagnosis of Liver Disease by Using Least Squares Support Vector Machine Approach
International Journal of Healthcare Information Systems and Informatics
Medicine
Information Systems
Management
