Latest AI and machine learning research in diabetes for healthcare professionals.
We present a new approach to population health, in which data-driven predictive models are learned f...
OBJECTIVE: It is important to identify the possible risk factors for the occurrence of large for ges...
The severity of Guillain-Barré Syndrome (GBS) varies among subtypes, which can be mainly Acute Infla...
This paper presents an advanced insulin bolus advisor for people with diabetes on multiple daily inj...
Recent advancements in genomics and proteomics provide a solid foundation for understanding the path...
Diabetes Mellitus (DM) affects hundreds of millions of people worldwide and it imposes a large econo...
Prediction of the future value of a variable is of central importance in a wide variety of fields, i...
The ligand-based virtual screening of combinatorial libraries employs a number of statistical modeli...
Physicians are required to interpret, abstract and present in free-text large amounts of clinical da...
The objective of this study is to build a fuzzy linguistic prediction model (FLPM) for analyzing the...
Proprioception is central for motor control and its role must also be taken into account when design...
We propose an online machine-learning solution to the problem of nonlinear glucose time series predi...
INTRODUCTION: There is sparse evidence of the effect of vitamin D on bone biomarkers in diabetic pat...
OBJECTIVE: Previous studies have shown an association between thyroid function and insulin resistanc...
This study was designed to evaluate insulin resistance and plasma levels of visfatin and resistin in...