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Machine Learning for Dementia Detection by Emilia Ramirez Saverio is a document available to read on EtoBox.

What is Machine Learning for Dementia Detection about?

This systematic literature review examines machine learning approaches for early dementia detection through non-invasive methods, specifically focusing on speech and gait analysis. The review highlights the effectiveness of various machine learning techniques, particularly the use of multimodal approaches, and emphasizes the potential for automated detection methods. The findings suggest that combining gait and speech analysis can enhance prediction accuracy and inform future research directions in dementia

Author

Emilia Ramirez Saverio

Language

EN