Background: Machine learning (ML) and deep learning (DL) show promise for fall risk prediction, but prior reviews focused mainly on real-time fall detection, in-hospital falls, or conventional ...

To develop and validate a multimodal machine learning model to predict postoperative worsening of freezing of gait questionnaire (FOGQ) scores in patients with Parkinson’s disease (PD) undergoing ...

Abstract: A cognitive digital twin using AI and machine learning is proposed in this study. System of crime hot spot identification and investigations in cities. The suggested system forms up a ...

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

An investigation is underway in Michigan, where a United States Postal Service employee was reportedly found dead in a mail handling machine last week. Maintenance worker Nicholas Aker, 36, was found ...