Machine learning techniques in adaptive and personalized systems for health and wellness
Traditional health systems mostly rely on rules created by experts to offer adaptive
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
An efficient comparison on machine learning and deep neural networks in epileptic seizure prediction
R Roseline Mary, BSE Zoraida… - Congress on Intelligent …, 2022 - Springer
Electroencephalography signals have been widely used in cognitive neuroscience to
identify the brain's activity and behavior. These signals retrieved from the brain are most …
identify the brain's activity and behavior. These signals retrieved from the brain are most …
[PDF][PDF] Smart model for Depression detection Using Deep Learning
P Kapse, VK Gargline - kalaharijournals.com
In this research paper to classifying Depression detection People datasets using a deep
neural network model, namely, Smart model for Depression detection (SMDD) is proposed …
neural network model, namely, Smart model for Depression detection (SMDD) is proposed …