Primary Care

The Pre-Eclampsia Ontology: A Disease Ontology Representing the Domain Knowledge Specific to Pre-Eclampsia.

Pre-eclampsia (PE) is a clinical syndrome characterized by new-onset hypertension and proteinuria at ≥20 weeks of gestation, and is a leading cause of maternal and perinatal morbidity and mortality. Previous studies have gathered abundant data about PE such as risk factors and pathological findings. However, most of these data are not semantically structured. Clinical data on PE patients are often...

Food Insecurity among American Indians and Alaska Natives: A National Profile using the Current Population Survey-Food Security Supplement.

Food insecurity increases the risk for obesity, diabetes, hypertension, and cancer-conditions highly prevalent among American Indians and Alaska Natives (AI/ANs). Using the Current Population Survey Food Security Supplement, we analyzed the food insecurity trends of AI/ANs compared to other racial and ethnic groups in the United States from 2000 to 2010. From 2000 to 2010, 25% of AI/ANs remained c...

Dysfunction of endothelial progenitor cells in hyperlipidemic rats involves the increase of NADPH oxidase derived reactive oxygen species production.

NADPH oxidase (NOX) is a major source of reactive oxygen species (ROS) in the body and it plays a key role in mediation of oxidative injury in the car...

Resistant starch suppresses postprandial hypertriglyceridemia in rats.

Postprandial increase in blood triglyceride levels is an independent risk factor for coronary artery disease, and dietary resistant starch (RS) is inc...

ANN Prediction of Metabolic Syndrome: a Complex Puzzle that will be Completed.

The diagnosis of metabolic syndrome (MetS) has a leading role in the early prevention of chronic disease, such as cardiovascular disease, type 2 diabe...

Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning.

Statistical models to predict incident diabetes are often based on limited variables. Here we pursued two main goals: 1) investigate the relative perf...

Antithyroid drug-associated MPO-ANCA-positive tubulointerstitial nephritis in a type 2 diabetes patient: a case report.

A 54-year-old man diagnosed with type 2 diabetes and hyperthyroidism was prescribed propylthiouracil (PTU) after the patient developed hepatic dysfunc...

A machine learning-based framework to identify type 2 diabetes through electronic health records.

OBJECTIVE: To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Mellitus (T2DM) via genome-wide association study (GWAS...

Using administrative data to identify U.S. Army soldiers at high-risk of perpetrating minor violent crimes.

Growing concerns exist about violent crimes perpetrated by U.S. military personnel. Although interventions exist to reduce violent crimes in high-risk...

Building and analysis of protein-protein interactions related to diabetes mellitus using support vector machine, biomedical text mining and network analysis.

In order to understand the molecular mechanism underlying any disease, knowledge about the interacting proteins in the disease pathway is essential. T...

Differential association of plasma monocyte chemoattractant protein-1 with systemic inflammatory and airway remodeling biomarkers in type-2 diabetic patients with and without asthma.

BACKGROUND: Chronic inflammation is a hallmark of type-2 diabetes (T2D) and asthma. Monocyte chemoattractant protein (MCP)-1 or CCL-2 is a key regulat...

Lower prevalence of proliferative diabetic retinopathy in elderly onset patients with diabetes.

AIMS: To assess diabetic retinopathy (DR) prevalence between elderly onset and younger onset diabetes with similar diabetes duration and evaluate the ...

A knowledge-based expert rule system for predicting mutagenicity (Ames test) of aromatic amines and azo compounds.

Cancer is one of the main causes of death in Western countries, and a major issue for human health. Prolonged exposure to a number of chemicals was ob...

Predictive time-series modeling using artificial neural networks for Linac beam symmetry: an empirical study.

Over half of cancer patients receive radiotherapy (RT) as partial or full cancer treatment. Daily quality assurance (QA) of RT in cancer treatment clo...

Robot-assisted versus laparoscopic surgery for lower rectal cancer: the impact of visceral obesity on surgical outcomes.

PURPOSE: The purpose of this study was to evaluate the advantages of robot-assisted laparoscopic surgery (RALS) for lower rectal cancer and for viscer...

Temporal changes in plasma markers of oxidative stress following laparoscopic sleeve gastrectomy in subjects with impaired glucose regulation.

BACKGROUND: Laparoscopic sleeve gastrectomy (LSG) is an effective treatment for obesity and associated metabolic complications. Obesity and type 2 dia...

inhibits the absorption and synthesis of cholesterol .

BACKGROUND: (SN) has many nutritional benefits and it is commonly used to ameliorate different human conditions including inflammation, gastric ulcer...

Boosting backpropagation algorithm by stimulus-sampling: Application in computer-aided medical diagnosis.

Neural networks (NNs), in general, and multi-layer perceptron (MLP), in particular, represent one of the most efficient classifiers among the machine ...

Acceptability of Robot Assistant in Management of Type 1 Diabetes in Children.

BACKGROUND: To find out whether children with type 1 diabetes accept a humanoid robot as an assistant in their diabetes management. In particular, the...

Developing a Risk Model to Target High-risk Preventive Interventions for Sexual Assault Victimization among Female U.S. Army Soldiers.

Sexual violence victimization is a significant problem among female U.S. military personnel. Preventive interventions for high-risk individuals might ...