Obesity

Effects of gender, body weight, and blood glucose dynamics on the growth hormone response to the glucagon stimulation test in patients with pituitary disease.

OBJECTIVE: Body weight blunts the growth hormone (GH) response to provocative stimuli. The appropriate GH cut-off to confirm GH deficiency in obese and overweight patients undergoing the glucagon stimulation test (GST) has recently been questioned. We hypothesized that the peak GH would be inversely related to the nadir blood glucose (BG) after glucagon and that this may be a mechanism influencing...

Bile acids synthesis decreases after laparoscopic sleeve gastrectomy.

BACKGROUND: Bariatric surgery is the most effective treatment alternative in morbid obesity. The mechanisms contributing to these benefits remain poorly understood. Bile acids (BAs) are mediators of different regulatory functions in glucose and cholesterol homeostasis and energy expenditure. Recent evidence suggests that BAs are critically important for the beneficial effects of sleeve gastrectomy...

Multimodal hybrid reasoning methodology for personalized wellbeing services.

A wellness system provides wellbeing recommendations to support experts in promoting a healthier lifestyle and inducing individuals to adopt healthy h...

Using Blood Indexes to Predict Overweight Statuses: An Extreme Learning Machine-Based Approach.

The number of the overweight people continues to rise across the world. Studies have shown that being overweight can increase health risks, such as hi...

Processing Diabetes Mellitus Composite Events in MAGPIE.

The focus of this research is in the definition of programmable expert Personal Health Systems (PHS) to monitor patients affected by chronic diseases ...

Clomiphene Citrate Effectively Increases Testosterone in Obese, Young, Hypogonadal Men.

BACKGROUND: Obesity has been associated with low testosterone (T) in adult males and in pubertal boys. Therapy for hypogonadism with exogenous T may l...

Using a Clinical Knowledge Base to Assess Comorbidity Interrelatedness Among Patients with Multiple Chronic Conditions.

Decision support tools increasingly integrate clinical knowledge such as medication indications and contraindications with electronic health record (E...

Does bariatric surgery really prevent deterioration of renal function?

BACKGROUND: Obesity is related to impaired renal function; bariatric surgery is associated with an improvement in renal function.

Effectiveness of intragastric balloon for obesity: A systematic review and meta-analysis based on randomized control trials.

BACKGROUND: Obesity has become a worldwide epidemic, and many methods are currently used to reduce obesity. This systematic review shows the effective...

Scintigraphic Small Intestinal Transit Time and Defaecography in Patients with J-Pouch.

Objective methods for examination of pouch function are warranted for a better understanding of the functional result and treatment of dysfunction. Th...

The association between cardiorespiratory fitness and abdominal adiposity in postmenopausal, physically inactive South Asian women.

In South Asians, a unique obesity phenotype of high abdominal fat is associated with increased cardiovascular risk. Low cardiorespiratory fitness (CRF...

Exploring the forest instead of the trees: An innovative method for defining obesogenic and obesoprotective environments.

Past research has assessed the association of single community characteristics with obesity, ignoring the spatial co-occurrence of multiple community-...

Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes.

The 2014 i2b2 natural language processing shared task focused on identifying cardiovascular risk factors such as high blood pressure, high cholesterol...

A Soft Computing Approach to Kidney Diseases Evaluation.

Kidney renal failure means that one's kidney have unexpectedly stopped functioning, i.e., once chronic disease is exposed, the presence or degree of k...

A study on a robot arm driven by three-dimensional trajectories predicted from non-invasive neural signals.

BACKGROUND: A brain-machine interface (BMI) should be able to help people with disabilities by replacing their lost motor functions. To replace lost f...

Machine Learning Techniques for Prediction of Early Childhood Obesity.

OBJECTIVES: This paper aims to predict childhood obesity after age two, using only data collected prior to the second birthday by a clinical decision ...

Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis.

The basal ganglia (BG) comprise multiple subcortical nuclei, which are responsible for cognition and other functions. Developing a brain-machine inter...

Knowledge-based analysis of genetic associations of rheumatoid arthritis to inform studies searching for pleiotropic genes: a literature review and network analysis.

INTRODUCTION: Pleiotropy describes the genetic effect of a single gene on multiple phenotypic traits. Gene variants directly affect the normal process...

A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases.

Automated phenotype identification plays a critical role in cohort selection and bioinformatics data mining. Natural Language Processing (NLP)-informe...

Dynamic modeling of breast tissue with application of model reference adaptive system identification technique based on clinical robot-assisted palpation.

Accurate identification of breast tissue's dynamic behavior in physical examination is critical to successful diagnosis and treatment. In this study a...