AIMC Topic: Body Mass Index

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Decreased gremlin 1 expression in women with BMI ≥35 kg/m is mediated by interleukin 10 and interleukin 1β in the follicular fluid.

F&S science Jun 29, 2020
OBJECTIVE: To determine how body mass index (BMI) affects the follicular fluid cytokine milieu and investigate how this inflammatory environment impacts cumulus signaling.
Obesity Interleukin-1beta Humans Follicular Fluid Interleukin-10 Intercellular Signaling Peptides and Proteins Female Body Mass Index
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Artificial intelligence may offer insight into factors determining individual TSH level.

PloS one May 20, 2020
The factors that determine Serum Thyrotropin (TSH) levels have been examined through different methods, using different covariates. However, the use of machine learning methods has so far not been studied in population databases like NHANES (National...
Ethnicity Triiodothyronine Humans Artificial Intelligence Machine Learning Retrospective Studies Female Male Body Mass Index Age Factors Thyrotropin Thyroxine
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Pulmonary Embolism in Acute Asthma Exacerbation: Clinical Characteristics, Prediction Model and Hospital Outcomes.

Lung May 18, 2020
PURPOSE: Little is known about the characteristics and impact of acute pulmonary embolism (PE) during episodes of asthma exacerbation. We aimed to characterize patients diagnosed with acute PE in the setting of asthma exacerbation, develop a predicti...
Disease Progression Comorbidity Case-Control Studies Length of Stay Body Mass Index Adult Asthma Male Middle Aged Heart Rate Natriuretic Peptide, Brain Fibrin Fibrinogen Degradation Products Computed Tomography Angiography Clinical Decision Rules Oxygen International Normalized Ratio Pulmonary Embolism Creatinine Hospitals, University Humans Machine Learning Intensive Care Units Female Aged
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Improving energy expenditure estimates from wearable devices: A machine learning approach.

Journal of sports sciences Apr 6, 2020
A means of quantifying continuous, free-living energy expenditure (EE) would advance the study of bioenergetics. The aim of this study was to apply a non-linear, machine learning algorithm (random forest) to predict minute level EE for a range of act...
Female Adult Male Middle Aged Exercise Humans Machine Learning Algorithms Calorimetry, Indirect Sedentary Behavior Bicycling Galvanic Skin Response Jogging Heart Rate Energy Metabolism Body Temperature Accelerometry Fitness Trackers Body Mass Index Body Composition Walking Activities of Daily Living
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SVM-based waist circumference estimation using Kinect.

Computer methods and programs in biomedicine Feb 24, 2020
BACKGROUND AND OBJECTIVE: Conventional anthropometric studies using Kinect depth sensors have concentrated on estimating the distances between two points such as height. This paper deals with a novel waist measurement method using SVM regression, fur...
Male Body Mass Index Support Vector Machine Obesity Japan Humans Female Waist Circumference Anthropometry
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Effects of medium- and long-distance running on cardiac damage markers in amateur runners: a systematic review, meta-analysis, and metaregression.

Journal of sport and health science Dec 27, 2019
BACKGROUND: To finish an endurance race, athletes perform a vigorous effort that induces the release of cardiac damage markers. There are several factors that can affect the total number of these markers, so the aim of this review was to analyze the ...
Marathon Running Physical Endurance Troponin I Biomarkers Bias Female Troponin T Humans Young Adult Sex Factors Adult Confidence Intervals Middle Aged Male Adolescent Body Mass Index Age Factors Regression Analysis
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Application of Machine Learning for Predicting Clinically Meaningful Outcome After Arthroscopic Femoroacetabular Impingement Surgery.

The American journal of sports medicine Dec 23, 2019
BACKGROUND: Hip arthroscopy has become an important tool for surgical treatment of intra-articular hip pathology. Predictive models for clinically meaningful outcomes in patients undergoing hip arthroscopy for femoroacetabular impingement syndrome (F...
Humans Machine Learning Arthroscopy Hip Joint Minimal Clinically Important Difference Femoracetabular Impingement Middle Aged Case-Control Studies Treatment Outcome Body Mass Index Activities of Daily Living Female Young Adult Adult Male
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Sleep heart rate variability assists the automatic prediction of long-term cardiovascular outcomes.

Sleep medicine Dec 16, 2019
OBJECTIVE: We aimed to investigate the association between sleep HRV and long-term cardiovascular disease (CVD) outcomes, and further explore whether HRV features can assist the automatic CVD prediction.
Male Cardiovascular Diseases Middle Aged Body Mass Index Heart Rate Sleep Polysomnography Sleep Wake Disorders Humans Machine Learning Retrospective Studies Female Risk Factors
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Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test.

PloS one Dec 11, 2019
Diabetes is a large healthcare burden worldwide. There is substantial evidence that lifestyle modifications and drug intervention can prevent diabetes, therefore, an early identification of high risk individuals is important to design targeted preven...
Body Mass Index Support Vector Machine Glucose Tolerance Test Life Style Humans Machine Learning Blood Glucose Insulin Diabetes Mellitus, Type 2 Insulin Resistance United States Biomarkers Female Adult Male Middle Aged
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Body Composition Analysis of Computed Tomography Scans in Clinical Populations: The Role of Deep Learning.

Lifestyle genomics Dec 10, 2019
BACKGROUND: Body composition is increasingly being recognized as an important prognostic factor for health outcomes across cancer, liver cirrhosis, and critically ill patients. Computed tomography (CT) scans, when taken as part of routine care, provi...
Humans Neural Networks, Computer Tomography, X-Ray Computed Reproducibility of Results Lumbar Vertebrae Deep Learning Body Mass Index Cost-Benefit Analysis Image Processing, Computer-Assisted Muscle, Skeletal Pattern Recognition, Automated Adipose Tissue Lumbosacral Region Subcutaneous Fat Body Composition
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