Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Yadav has also worked on several research articles that cover topics in emerging areas of knowledge for instance, cryptocurrency portfolio. The development of financial analytics has been progressive ...

The efficient management of hospital resources, particularly in terms of bed utilisation and staff allocation, is increasingly critical in modern healthcare systems. Predictive modelling for hospital ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

CHICAGO, Aug. 26, 2021 (GLOBE NEWSWIRE) -- VelocityEHS, the global leader in cloud-based environmental, health, safety (EHS) and environmental, social, and corporate ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

ACE developed a data gathering and analysis proof of concept for more accurate air drops that lays the groundwork for predictive modelling. Impact: A ...

Keysight Technologies has introduced a new Machine Learning Toolkit as part of its latest Device Modelling Software Suite, aiming to reduce the time required for semiconductor device modelling and ...