A streaming clustering using a longitudinal visit data demonstrated a good potential in finding distinct older adult's characteristics and predicting early signs of MCI and dementia. The model's predictive performance in MCI and dementia was higher than the supervised learning (LSTM temporal approach).
In this paper, a streaming clustering model was used to determine distinct patterns of older adults' health changes from their clinical visits in Mayo Clinic ...
In this paper, a streaming clustering model was used to determine distinct patterns of older adults' health changes from their clinical visits.
It is demonstrated that temporal characteristics incorporated in a streaming clustering model has a promising potential to increase power in predicting ...
In this paper, a streaming clustering model was used to determine distinct patterns of older adults' health changes from their clinical visits in Mayo Clinic ...
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Early Alert of Elderly Cognitive Impairment using Temporal Streaming Clustering. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2021 Dec;2021:905-912 ...
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Early Alert of Elderly Cognitive Impairment using Temporal Streaming Clustering. O. Ibrahim, S. Fu, M. Vassilaki, R. Petersen, M. Mielke, J. Sauver, ...
Oct 18, 2024 · Early alert of elderly cognitive impairment using temporal streaming clustering. 2021 IEEE International Conference on Bioinformatics and ...
Our experiments of sex-specific temporal clustering of features in older adults demonstrate the potential of more personalized models for early alerts of ...