AIMC Topic: Obesity, Metabolically Benign

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Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.

Nutrients Jan 15, 2022
The key factors playing a role in the pathogenesis of metabolic alterations observed in many patients with obesity have not been fully characterized. Their identification is crucial, and it would represent a fundamental step towards better management...
Humans Artificial Intelligence Machine Learning Biomarkers Prognosis Retrospective Studies Female Risk Factors Adult Male Middle Aged Insulin-Like Growth Factor I Health Status Metabolic Syndrome Obesity Adipose Tissue Glycated Hemoglobin Alanine Transaminase Absorptiometry, Photon Obesity, Metabolically Benign
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Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study.

Frontiers in endocrinology Jul 14, 2021
BACKGROUND AND OBJECTIVE: Clinical characteristics of obesity are heterogenous, but current classification for diagnosis is simply based on BMI or metabolic healthiness. The purpose of this study was to use machine learning to explore a more precise ...
Humans Machine Learning Female Adult Male Comorbidity China Blood Glucose Insulin Body Mass Index Metabolic Syndrome Obesity Hyperuricemia Uric Acid Glucose Tolerance Test Polycystic Ovary Syndrome Obesity, Metabolically Benign
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