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Obesity

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An artificial neural network to predict resting energy expenditure in obesity.

Clinical nutrition (Edinburgh, Scotland)
BACKGROUND & AIMS: The resting energy expenditure (REE) determination is important in nutrition for adequate dietary prescription. The gold standard i.e. indirect calorimetry is not available in clinical settings. Thus, several predictive equations h...

An Ensemble Multilabel Classification for Disease Risk Prediction.

Journal of healthcare engineering
It is important to identify and prevent disease risk as early as possible through regular physical examinations. We formulate the disease risk prediction into a multilabel classification problem. A novel Ensemble Label Power-set Pruned datasets Joint...

The potential impact of the hypovitaminosis D on metabolic complications in obese adolescents - Preliminary results.

Annals of agricultural and environmental medicine : AAEM
INTRODUCTION AND OBJECTIVE: Vitamin D deficiency is common in obesity; however, its contribution in the development of metabolic complications remains uncertain. The aim of the study was to examine the relationships between vitamin D status and metab...

Cardiovascular events in patients with mild autonomous cortisol secretion: analysis with artificial neural networks.

European journal of endocrinology
BACKGROUND: The independent role of mild autonomous cortisol secretion (ACS) in influencing the cardiovascular event (CVE) occurrence is a topic of interest. We investigated the role of mild ACS in the CVE occurrence in patients with adrenal incident...

Integration of metabolomics, lipidomics and clinical data using a machine learning method.

BMC bioinformatics
BACKGROUND: The recent pandemic of obesity and the metabolic syndrome (MetS) has led to the realisation that new drug targets are needed to either reduce obesity or the subsequent pathophysiological consequences associated with excess weight gain. Ce...

What kind of Relationship is Between Body Mass Index and Body Fat Percentage?

Journal of medical systems
Although body mass index (BMI) and body fat percentage (B F %) are well known as indicators of nutritional status, there are insuficient data whether the relationship between them is linear or not. There are appropriate linear and quadratic formulas ...

Effects of Dietary Approach to Stop Hypertension diet on androgens, antioxidant status and body composition in overweight and obese women with polycystic ovary syndrome: a randomised controlled trial.

Journal of human nutrition and dietetics : the official journal of the British Dietetic Association
BACKGROUND: Polycystic ovary syndrome (PCOS) is the most common endocrine disease in reproductive age women. The present study aimed to determine the effects of Dietary Approaches to Stop Hypertension (DASH) diet on reproductive hormones, plasma tota...

Vitamin D status, hypertension and body mass index in an urban black community in Mangaung, South Africa.

African journal of primary health care & family medicine
BACKGROUND: A strong relationship exists between hypertension and body weight. Research has linked both higher blood pressure and body weight with lower vitamin D status.

Diet-induced weight loss and markers of endothelial dysfunction and inflammation in treated patients with type 2 diabetes.

Clinical nutrition ESPEN
BACKGROUND & AIMS: Overweight and obesity increase cardiovascular mortality in patients with type 2 diabetes (T2D). In a recent trial, however, diet-induced weight loss did not reduce the cardiovascular risk of patients with T2D, possibly due to the ...

Estimation of umbilical cord blood leptin and insulin based on anthropometric data by means of artificial neural network approach: identifying key maternal and neonatal factors.

BMC pregnancy and childbirth
BACKGROUND: Leptin and insulin levels are key factors regulating fetal and neonatal energy homeostasis, development and growth. Both biomarkers are used as predictors of weight gain and obesity during infancy. There are currently no prediction algori...