AIMC Topic: Body Mass Index
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[Obesity and inflammation in students of a Colombian public university].
Revista de salud publica (Bogota, Colombia)
Nov 1, 2020
OBJECTIVE: To describe the relationship between obesity and proinflammatory variables in the student population of the University of Quindío.
Evaluating the Sensitivity of Resting-State BOLD Variability to Age and Cognition after Controlling for Motion and Cardiovascular Influences: A Network-Based Approach.
Cerebral cortex (New York, N.Y. : 1991)
Oct 1, 2020
Recent functional magnetic resonance imaging (fMRI) studies report that moment-to-moment variability in the BOLD signal is related to differences in age and cognition and, thus, may be sensitive to age-dependent decline. However, head motion and/or c...
Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm.
Korean journal of radiology
Mar 1, 2020
OBJECTIVE: To compare the image quality of low-dose (LD) computed tomography (CT) obtained using a deep learning-based denoising algorithm (DLA) with LD CT images reconstructed with a filtered back projection (FBP) and advanced modeled iterative reco...
Design and Development of a Sitting Posture Recognition System.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Sitting posture recognition can be used to evaluate the awareness of a person carrying out a task, such as working or driving, and can aid in avoiding accidents or other health risks, such as musculoskeletal disorders. In addition, sitting posture ca...
[Robot-assisted vs laparoscopic gastric bypass : First experiences with the DaVinci system in bariatric surgery].
Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen
Aug 1, 2018
Conventional laparoscopy is the gold standard in bariatric surgery. Internationally, robot-assisted surgery is gaining in importance. Up to now there are only few reports from Germany on the use of the system in bariatric surgery. Since January 2017 ...
Effect of intraoperative mannitol administration on acute kidney injury after robot-assisted laparoscopic radical prostatectomy: A propensity score matching analysis.
Medicine
Jun 1, 2018
Mannitol, an osmotic diuretic, has been used to prevent acute kidney injury (AKI). However, studies have found divergent effects of intraoperative mannitol administration on postoperative AKI. We therefore evaluated the effects of intraoperative mann...
Increased lipocalin-2 vs reduced oxytocin in relation with adiposity, atherogenicity and hematological indices in metabolic syndrome patients with and without prediabetes.
Bratislavske lekarske listy
Jan 1, 2018
OBJECTIVES: The neuropeptide hormone- Oxytocin (OXT) and glycoprotein Lipocalin-2 (LCN-2) are strongly associated with cardiometabolic risks of insulin resistance in metabolic syndrome (MetS) and prediabetes (preDM).
The association between clinically suspect arthralgia and adipokines in obese patients.
Acta reumatologica portuguesa
Jan 1, 2018
OBJECTIVE: Obesity is a moderate low-grade chronic inflammatory condition. The cause of low-grade inflammation in obese patients who have clinically suspect arthralgia (CSA) may be the subject of debate in clinical practice. Our aim is to determine w...
Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model.
Studies in health technology and informatics
Jan 1, 2018
BACKGROUND: A challenge of using electronic health records for secondary analyses is data quality. Body mass index (BMI) is an important predictor for various diseases but often not documented properly.
Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2018
With the maturation of metabolomics science and proliferation of biobanks, clinical metabolic profiling is an increasingly opportunistic frontier for advancing translational clinical research. Automated Machine Learning (AutoML) approaches provide ex...
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