AIMC Topic: Obesity
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Image Quality Evaluation in Dual-Energy CT of the Chest, Abdomen, and Pelvis in Obese Patients With Deep Learning Image Reconstruction.
Journal of computer assisted tomography
Apr 27, 2022
OBJECTIVE: The aim of this study was to evaluate image quality in vascular and oncologic dual-energy computed tomography (CT) imaging studies performed with a deep learning (DL)-based image reconstruction algorithm in patients with body mass index of...
Very low-volume interval training improves nonalcoholic fatty liver disease fibrosis score and cardiometabolic health in adults with obesity and metabolic syndrome.
Journal of physiology and pharmacology : an official journal of the Polish Physiological Society
Apr 24, 2022
Non-alcoholic fatty liver disease (NAFLD) and cardiometabolic disorders are highly prevalent in obese individuals. Physical exercise is an important element in obesity and metabolic syndrome (MetS) treatment. However, the vast majority of individuals...
Estimation and Prediction of Hospitalization and Medical Care Costs Using Regression in Machine Learning.
Journal of healthcare engineering
Mar 2, 2022
Medical costs are one of the most common recurring expenses in a person's life. Based on different research studies, BMI, ageing, smoking, and other factors are all related to greater personal medical care costs. The estimates of the expenditures of ...
Body fat prediction through feature extraction based on anthropometric and laboratory measurements.
PloS one
Feb 22, 2022
Obesity, associated with having excess body fat, is a critical public health problem that can cause serious diseases. Although a range of techniques for body fat estimation have been developed to assess obesity, these typically involve high-cost test...
Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches.
PloS one
Jan 21, 2022
The COVID-19 pandemic has been widely spread and affected millions of people and caused hundreds of deaths worldwide, especially in patients with comorbilities and COVID-19. This manuscript aims to present models to predict, firstly, the number of co...
The Anti-Adiposity Mechanisms of Ampelopsin and Vine Tea Extract in High Fat Diet and Alcohol-Induced Fatty Liver Mouse Models.
Molecules (Basel, Switzerland)
Jan 18, 2022
(AG) is an ancient medicinal plant that is mainly distributed and used in southwest China. It exerts therapeutic effects, such as antioxidant, anti-diabetic, and anti-inflammatory activities, reductions in blood pressure and cholesterol and hepatopr...
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...
Absorptiometry, Photon
Risk Factors
Obesity, Metabolically Benign
Adult
Biomarkers
Male
Insulin-Like Growth Factor I
Adipose Tissue
Prognosis
Middle Aged
Health Status
Glycated Hemoglobin
Humans
Retrospective Studies
Metabolic Syndrome
Alanine Transaminase
Artificial Intelligence
Female
Obesity
Machine Learning
Identifying Microbe-Disease Association Based on a Novel Back-Propagation Neural Network Model.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 8, 2021
Over the years, numerous evidences have demonstrated that microbes living in the human body are closely related to human life activities and human diseases. However, traditional biological experiments are time-consuming and expensive, so it has becom...
Obesity Mass Monitoring in Medical Big Data Based on High-Order Simulated Annealing Neural Network Algorithm.
Computational intelligence and neuroscience
Nov 6, 2021
With the rapid development of information technology, hospital informatization has become the general trend. In this context, disease monitoring based on medical big data has been proposed and has aroused widespread concern. In order to overcome the ...
Machine learning approach to needle insertion site identification for spinal anesthesia in obese patients.
BMC anesthesiology
Oct 18, 2021
BACKGROUND: Ultrasonography for neuraxial anesthesia is increasingly being used to identify spinal structures and the identification of correct point of needle insertion to improve procedural success, in particular in obesity. We developed an ultraso...
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