Latest AI and machine learning research in primary care for healthcare professionals.
The present work presents the comparative assessment of four glucose prediction models for patients with type 1 diabetes mellitus (T1DM) using data from sensors monitoring blood glucose concentration. The four models are based on a feedforward neural network (FNN), a self-organizing map (SOM), a neuro-fuzzy network with wavelets as activation functions (WFNN), and a linear regression model (LRM), ...
Age-related Macular Degeneration (AMD) is an irreversible and chronic medical condition characterized by drusen, Choroidal Neovascularization (CNV) and Geographic Atrophy (GA). AMD is one of the major causes of visual loss among elderly people. It is caused by the degeneration of cells in the macula which is responsible for central vision. AMD can be dry or wet type, however dry AMD is most common...
AIMS/INTRODUCTION: Anemia has a close interaction with renal dysfunction in diabetes patients. More proof is still awaited on the relationship between...
High Throughput Screening (HTS) is a common approach in life sciences to discover chemical matter that modulates a biological target or phenotype. How...
Continued advancement in pluripotent stem cell culture is closing the gap between bench and bedside for using these cells in regenerative medicine, dr...
The dual challenge of increasing numbers of older adults and overall increases in those with some form of insurance is driving the need to develop and...
In recent years, a significant part of the studies on air pollutants has been devoted to improve statistical techniques for forecasting the values of ...
Among the many related issues of diabetes management, its complications constitute the main part of the heavy burden of this disease. The aim of this ...
BACKGROUND: Primary sclerosing cholangitis (PSC) patients are at increased risk of biliary tract cancer, and carcinoembryonic antigen (CEA) serum leve...
Human activity recognition is important in the study of personal health, wellness and lifestyle. In order to acquire human activity information from t...
There has recently been much advancement in the diagnosis, treatment, and research of metabolic disorders, especially diabetes. Current research aroun...
Breast cancer is one of the most common cause of cancer mortality. Early detection through mammography screening could significantly reduce mortality ...
BACKGROUND: The diagnostic performance of biochemical scores and artificial neural network models for portal hypertension and cirrhosis is not well es...
The hypertriglyceridemic waist (HW) phenotype is strongly associated with type 2 diabetes; however, to date, no study has assessed the predictive powe...
OBJECTIVE: Morbid obesity is a known risk factor for the development of endometrial cancer. Several studies have demonstrated the overall feasibility ...
OBJECTIVE: Robotic gynecological surgery is feasible in obese patients, but there remain concerns about the safety of this approach because the positi...
Rats have been used extensively as animal models to study physiological and pathological processes involved in human diseases. Numerous rat strains ha...
The purpose of this study was to quantify associations between hemoglobin A1C (A1C) and diabetes knowledge score using an assessment tool developed to...
High-throughput compound screening is time and resource consuming, and considerable effort is invested into screening compound libraries, profiling, a...
OBJECTIVE: To evaluate the impact of the synthetic minority oversampling technique (SMOTE) on the performance of probabilistic neural network (PNN), n...