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All Outputs (10)

A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease (2020)
Presentation / Conference Contribution
Rana, S. S., Ma, X., Pang, W., & Wolverson, E. (2020, December). A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease. Presented at 2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Leicester, United Kingdom

Mild cognitive impairment (MCI) has been described as the intermediary stage before Alzheimer's Disease - many people however remain stable or even demonstrate improvement in cognition. Early detection of progressive MCI (pMCI) therefore can be utili... Read More about A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease.

Impact of WHELD intervention on neuropsychiatric symptoms, antipsychotic use and quality of life in people with dementia living in nursing homes: a cluster- randomized trial (2017)
Presentation / Conference Contribution
Crawford, F., Ballard, C., Fossey, J., Corbett, A., Orrell, M., Romeo, R., Moniz-Cook, E., Woods, B., & Whitaker, R. Impact of WHELD intervention on neuropsychiatric symptoms, antipsychotic use and quality of life in people with dementia living in nursing homes: a cluster- randomized trial