Page 20 - Random Forest News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Falls are a major problem associated with ageing. Yet, fall-risk classification models identifying older adults at risk are lacking. Current screening tools show limited predictive validity to differentiate between a low- and high-risk of falling. This study aims at identifying risk factors associated with higher risk of falling by means of a quality-of-life questionnaire incorporating biological, behavioural, environmental and socio-economic factors. These insights can aid the development of a fall-risk classification algorithm identifying community-dwelling older adults at risk of falling. T...

Artificial intelligence is being used by researchers at the Department of Physical Education’s Human Movement Laboratory (Movi-Lab) at São Paulo State University (UNESP) in Bauru, Brazil, to assist in the diagnosis and prediction of the progression of Parkinson's disease.

Scientists are using artificial intelligence to help identify cases of Parkinson’s disease and estimate its progression by analyzing spatial and temporal gait parameters.

Asset owners don’t need to be machine learning experts to tell which managers are the real deal.

This paper analyses commercial banking and shadow banking, with the intention of understanding different channels of instability that can occur through both types of banking for the United States. The work is pioneering a comprehensive vision of shadow banking and its interrelation with commercial banking. The results of the work are designed to encourage reflection on possible mediums to promote the stability of shadow banking, through new risk indicators. Finally, these indicators are tested using machine learning techniques.