AIMC Topic: Body Mass Index

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Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model.

Studies in health technology and informatics
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
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...

Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis.

Journal of digital imaging
Pretreatment risk stratification is key for personalized medicine. While many physicians rely on an "eyeball test" to assess whether patients will tolerate major surgery or chemotherapy, "eyeballing" is inherently subjective and difficult to quantify...

Adiponectin levels may help assess the clinical repercussions of obesity irrespective of body mass index.

Hormones (Athens, Greece)
OBJECTIVE: Adiponectin is the major product of adipose tissue. The aim of this study was to associate adiponectin levels with adipose tissue and metabolic indices.

Renal Function in Type 2 Diabetes Following Gastric Bypass.

Deutsches Arzteblatt international
BACKGROUND: Metabolic surgery for obese patients with type 2 diabetes (T2D) yields short- and long-term remission rates of 60-90%. Its effects on diabetesassociated complications such as neuropathy and nephropathy have not been well studied to date. ...

Evidence for Alteration in Serum Concentrations of Leptin in Infertile Men Categorized Based on BMI.

Clinical laboratory
BACKGROUND: The aim of this study is to compare serum and seminal level of leptin in the context of infertility in men according to BMI. We also investigated the possible correlation of circulating level of leptin with fertility indices.

Unsupervised learning technique identifies bronchiectasis phenotypes with distinct clinical characteristics.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
BACKGROUND: Unsupervised learning technique allows researchers to identify different phenotypes of diseases with complex manifestations.

GESTATIONAL DIABETES MELLITUS SEEMS TO BE ASSOCIATED WITH INFLAMMATION.

Acta clinica Croatica
The aim of this study was to investigate whether gestational diabetes mellitus (GDM) is associated with inflammation by comparing serum levels of human chitinase-3-like pro- tein 1 (YKL-40), neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte r...

Correlation of Brain Neuropeptide (Nesfatin-1 and Orexin-A) Concentrations with Anthropometric and Biochemical Parameters in Malnourished Children.

Journal of clinical research in pediatric endocrinology
OBJECTIVE: Malnutrition continues to be a leading cause of stunted growth in many countries. This study aimed to investigate serum nesfatin-1 and orexin-A levels in underweight children and the potential correlations of these levels with anthropometr...