Latest AI and machine learning research in primary care for healthcare professionals.
This paper aims to enlighten the complex etiology beneath obesity by analysing data from a large nutrigenetics study, in which nutritional and genetic factors associated with obesity were recorded for around two thousand individuals. In our previous work, these data have been analysed using artificial neural network methods, which identified optimised subsets of factors to predict one's obesity st...
We propose an online machine-learning solution to the problem of nonlinear glucose time series prediction in type 1 diabetes. Recently, extreme learning machine (ELM) has been proposed for training single hidden layer feed-forward neural networks. The high accuracy and fast learning speed of ELM drive us to investigate its applicability to the glucose prediction problem. Given that diabetes self-m...
Reactivation of the hepatitis B virus (HBV) has been reported in patients receiving immunosuppressive therapy or chemotherapy. We report a case of HBV...
BACKGROUND: Acute lymphoblastic leukemia survivors are predisposed to obesity. However, the exact underlying mechanisms are not known.
OBJECTIVE: Previous studies have shown an association between thyroid function and insulin resistance and obesity. We compared insulin resistance and ...
Breast cancer is the most commonly diagnosed cancer among women, but despite survival rates improvement, it is still the second major cause of cancer ...
This study was designed to evaluate insulin resistance and plasma levels of visfatin and resistin in obese and non-obese patients with polycystic ovar...
An estimated 183,000 Brazilian children are at risk of losing their mothers to AIDS, according to a survey released. The survey, sponsored by UNICEF, ...