Artificial Intelligence for Health and Health Care

Artificial Intelligence Tools in Health Information Management

Application of ICT in health (eHealth) has become an integral part of modern healthcare systems. Elec‌tronic health information management has proven useful in improving quality of health care, reducing costs and facilitating health research. However, the increasing complexity of healthcare and the growing demand for high quality healthcare delivery has created a need for eHealth systems with t...

پایش سلامت در حیات مصنوعی در حوزه های بیماری های واگیر و آلودگی

Introductions :Inherent human society and its complexities, in addition the possibility of trial in more social and health sciences, caused using of computerized simulations and artificial models in terms of necessary views that are exist in these types of sciences. to design these artificial models based on real environment and evaluation and recognition and then recalling the results, and usi...

Meeting the Challenge of Diabetes in China

China’s estimated 114 million people with diabetes pose a massive challenge for China’s health policy-makers who have significantly extended health insurance coverage over the past decade. What China is doing now, what it has achieved, and what remains to be done should be of interest to health policy-makers, worldwide. We identify the challenges posed by China’s two pr...

MSAS: An M-mental health care System for Automatic Stress detection

Early Prediction of Gestational Diabetes Using ‎Decision Tree and Artificial Neural Network Algorithms

Introduction: Gestational diabetes is associated with many short-term and long-term complications in mothers and newborns; hence, the detection of its risk factors can contribute to the timely diagnosis and prevention of relevant complications. The present study aimed to design and compare Gestational diabetes mellitus (GDM) prediction models using artificial intelligence algorithms. Materials ...

Using emotional intelligence to predict job stress: Artificial neural network and regression models

Introduction: These days, there is a consensus that emotional intelligence plays an important role in the success of individuals in different areas of life. Persons with higher emotional intelligence had lower stress in dealing with demands and pressures in the workplace. The purpose of this study was to use artificial neural network to predict job stress and to compare the performance of this ...