Latest AI and machine learning research in diabetes for healthcare professionals.
Recent advancements in genomics and proteomics provide a solid foundation for understanding the pathogenesis of diabetes. Proteomics of diabetes associated pathways help to identify the most potent target for the management of diabetes. The relevant datasets are scattered in various prominent sources which takes much time to select the therapeutic target for the clinical management of diabetes. Ho...
Diabetes Mellitus (DM) affects hundreds of millions of people worldwide and it imposes a large economic burden on healthcare systems. We present a web patient empowering system (PHSP4) that ensures continuous monitoring and assessment of the health state of patients with DM (type I and II). PHSP4 is a Knowledge-Based Personal Health System (PHS) which follows the trend of P4 Medicine (Personalized...
Prediction of the future value of a variable is of central importance in a wide variety of fields, including economy and finance, meteorology, informa...
The ligand-based virtual screening of combinatorial libraries employs a number of statistical modeling and machine learning methods. A comprehensive a...
Physicians are required to interpret, abstract and present in free-text large amounts of clinical data in their daily tasks. This is especially true f...
The objective of this study is to build a fuzzy linguistic prediction model (FLPM) for analyzing the actuation duration of acute hyperglycemia to sino...
Proprioception is central for motor control and its role must also be taken into account when designing motor rehabilitation training protocols. This ...
We propose an online machine-learning solution to the problem of nonlinear glucose time series prediction in type 1 diabetes. Recently, extreme learni...
INTRODUCTION: There is sparse evidence of the effect of vitamin D on bone biomarkers in diabetic patients, and therefore, in a randomized clinical tri...
OBJECTIVE: Previous studies have shown an association between thyroid function and insulin resistance and obesity. We compared insulin resistance and ...
This study was designed to evaluate insulin resistance and plasma levels of visfatin and resistin in obese and non-obese patients with polycystic ovar...