AI Medical Compendium Journal:
Metabolic syndrome and related disorders

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The Use of Machine Learning Techniques to Determine the Predictive Value of Inflammatory Biomarkers in the Development of Type 2 Diabetes Mellitus.

Metabolic syndrome and related disorders Feb 16, 2021
Certain inflammatory biomarkers, such as interleukin-6, interleukin-1, C-reactive protein (CRP), and fibrinogen, are prototypical acute-phase parameters that can also be predictors of cardiovascular disease. However, this inflammatory response can a...
Humans Machine Learning Biomarkers Retrospective Studies Cross-Sectional Studies Diabetes Mellitus, Type 2 Insulin Resistance Inflammation Predictive Value of Tests C-Reactive Protein Fibrinogen
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Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature Selection.

Metabolic syndrome and related disorders Nov 1, 2019
We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH), a stage of nonalcoholic fatty liver disease, (NAFLD) in which the inflammation of hepatocytes can lead to increased cardiovascular risk, liver fibr...
Humans Machine Learning Algorithms Prognosis Retrospective Studies Female Aged Adult Sensitivity and Specificity Cross-Sectional Studies Male Middle Aged Disease Progression Prevalence Severity of Illness Index Diabetes Mellitus, Type 2 Liver Cirrhosis Hypertension Metabolic Syndrome Decision Making Non-alcoholic Fatty Liver Disease
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