Analyzing and identifying predictable time range for stress prediction based on chaos theory and deep learning

ConclusionIntegrating deep learning and chaos theory for stress prediction is effective, and can improve the prediction accuracy over 2% and 8% more than those of the deep learning and the Chaos method respectively. Implications and further possible improvements are also discussed at the end of the paper.
Source: Health Information Science and Systems - Category: Information Technology Source Type: research