AIMC Topic: Body Mass Index

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Multifactor Prediction of Embryo Transfer Outcomes Based on a Machine Learning Algorithm.

Frontiers in endocrinology Nov 2, 2021
fertilization-embryo transfer (IVF-ET) technology make it possible for infertile couples to conceive a baby successfully. Nevertheless, IVF-ET does not guarantee success. Frozen embryo transfer (FET) is an important supplement to IVF-ET. Many factor...
Embryo Transfer Hormone Replacement Therapy Treatment Outcome Body Mass Index Female Support Vector Machine Reproducibility of Results Endometrium Sensitivity and Specificity Predictive Value of Tests Estradiol Embryonic Development Progesterone Humans Machine Learning Algorithms Pregnancy
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Artificial neural network and decision tree models of post-stroke depression at 3 months after stroke in patients with BMI ≥ 24.

Journal of psychosomatic research Oct 2, 2021
OBJECTIVE: Previous studies have shown that excess weight (including obesity and overweight) can increase the risk of cardiovascular, cerebrovascular and other diseases, but there is no study on the incidence of post-stroke depression (PSD) and relat...
Prospective Studies Depression Cohort Studies Body Mass Index Decision Trees Humans Neural Networks, Computer
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Polycystic ovary syndrome: clinical and laboratory variables related to new phenotypes using machine-learning models.

Journal of endocrinological investigation Sep 15, 2021
PURPOSE: Polycystic Ovary Syndrome (PCOS) is the most frequent endocrinopathy in women of reproductive age. Machine learning (ML) is the area of artificial intelligence with a focus on predictive computing algorithms. We aimed to define the most rele...
Polycystic Ovary Syndrome Preventive Health Services Biological Variation, Population Disease Hotspot Humans Artificial Intelligence Machine Learning Algorithms Precision Medicine Female Adult Insulin Resistance Body Mass Index Metabolic Networks and Pathways
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Detection of sarcopenic obesity and prediction of long-term survival in patients with gastric cancer using preoperative computed tomography and machine learning.

Journal of surgical oncology Sep 7, 2021
BACKGROUND: Previous studies evaluating the prognostic value of computed tomography (CT)-derived body composition data have included few patients. Thus, we assessed the prevalence and prognostic value of sarcopenic obesity in a large population of ga...
Humans Machine Learning Prognosis Tomography, X-Ray Computed Female Risk Factors Stomach Neoplasms Muscle, Skeletal Body Composition Gastrectomy Survival Rate Cross-Sectional Studies Male Middle Aged Case-Control Studies Body Mass Index Follow-Up Studies Obesity Sarcopenia
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Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis.

Scientific reports Sep 7, 2021
The elucidation of dynamic metabolomic changes during gestation is particularly important for the development of methods to evaluate pregnancy status or achieve earlier detection of pregnancy-related complications. Some studies have constructed model...
Machine Learning Prospective Studies Pregnancy Female Infant, Newborn Humans Maternal Age Hypertension, Pregnancy-Induced Models, Biological Japan Parity Gas Chromatography-Mass Spectrometry Adult Pregnancy Complications Body Mass Index Gestational Age Metabolomics
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Machine learning-based approach for disease severity classification of carpal tunnel syndrome.

Scientific reports Aug 31, 2021
Identifying the severity of carpal tunnel syndrome (CTS) is essential to providing appropriate therapeutic interventions. We developed and validated machine-learning (ML) models for classifying CTS severity. Here, 1037 CTS hands with 11 variables eac...
Body Mass Index Humans Pain Measurement Machine Learning Neural Conduction Retrospective Studies Electrodiagnosis Carpal Tunnel Syndrome Female Male Middle Aged Severity of Illness Index
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Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions.

Scientific reports Aug 16, 2021
Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantification of MFI requires time-consuming and rater-dependent manual segmentation techniques. A convolutional neural network (CNN) model was trained to se...
Magnetic Resonance Imaging Adipose Tissue Organ Size Cervical Vertebrae Anthropometry Adiposity Datasets as Topic Observer Variation Automation Neck Muscles Adult Humans Male Female Deep Learning Reproducibility of Results Image Processing, Computer-Assisted Young Adult Body Mass Index
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Estimated Artificial Neural Network Modeling of Maximal Oxygen Uptake Based on Multistage 10-m Shuttle Run Test in Healthy Adults.

International journal of environmental research and public health Aug 12, 2021
We aimed to develop an artificial neural network (ANN) model to estimate the maximal oxygen uptake (VOmax) based on a multistage 10 m shuttle run test (SRT) in healthy adults. For ANN-based VOmax estimation, 118 healthy Korean adults (59 men and 59 w...
Humans Neural Networks, Computer Female Adult Male Body Mass Index Oxygen Waist Circumference Waist-Hip Ratio
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Towards precision cardiometabolic prevention: results from a machine learning, semi-supervised clustering approach in the nationwide population-based ORISCAV-LUX 2 study.

Scientific reports Aug 6, 2021
Given the rapid increase in the incidence of cardiometabolic conditions, there is an urgent need for better approaches to prevent as many cases as possible and move from a one-size-fits-all approach to a precision cardiometabolic prevention strategy ...
Aged Aged, 80 and over Adult Cross-Sectional Studies Male Humans Machine Learning Female Risk Factors Obesity Supervised Machine Learning Metabolic Diseases Luxembourg Cardiovascular Diseases Middle Aged Overweight Body Mass Index
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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 ...
Comorbidity China Blood Glucose Insulin Body Mass Index Polycystic Ovary Syndrome Humans Machine Learning Obesity, Metabolically Benign Female Adult Metabolic Syndrome Male Obesity Hyperuricemia Uric Acid Glucose Tolerance Test
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