Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project.

Large-scale medical data sets are vital for hands-on education in health data science but are often inaccessible due to privacy concerns. Addressing this gap, we developed the Health Gym project, a free and open-source platform designed to generate synthetic health data sets applicable to various areas of data science education, including machine learning, data visualization, and traditional statistical models. Initially, we generated 3 synthetic data sets for sepsis, acute hypotension, and antiretroviral therapy for HIV infection.

[The clinical and echocardiographic parameters at rest and during mental arithmetic stress in preadolescent subjects with a hypertensive parent].

Previous studies have showed that a genetic predisposition and/or a family history of essential hypertension may play a significant role in the development of cardiovascular changes in borderline hypertensive patients. Moreover, mental stress has been identified as contributing to the development of cardiovascular disease. The aim of this study was to compare the possible changes in blood pressure and Doppler echocardiographic parameters in resting and during mental arithmetic stress in 21 children with a hypertensive parent (Group I) and 21 age-matched children with normotensive parents (Group II), similar for body mass index, alimentary and life habits, and not differing in resting blood pressure, heart rate and Doppler echocardiographic parameters.