Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series

arXiv:2405.01554v1 Announce Type: new
Abstract: Following the recent development of quantum machine learning techniques, the literature has reported several quantum machine learning algorithms for disease detection. This study explores the application of a hybrid quantum-classical algorithm for classifying region-of-interest time-series data obtained from resting-state functional magnetic resonance imaging in patients with early-stage cognitive impairment based on the importance of cognitive decline for dementia or aging. Classical one-dimensional convolutional layers are used together with quantum convolutional neural networks in our hybrid …

abstract algorithm algorithms application arxiv cognitive cs.ai cs.lg data detection development disease functional hybrid literature machine machine learning machine learning algorithms machine learning techniques mri q-bio.nc quantum series stage state study type