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Jun 6, 2022 · This study used an attention-based time-aware model to predict incident dementia that incorporated longitudinal temporal health conditions. The ...
Jan 16, 2022 · This study used an attention-based time-aware model to predict incident dementia that incorporated longitudinal temporal health conditions. The ...
This study used an attention-based time-aware model to predict incident dementia that incorporated longitudinal temporal health conditions. The predictive ...
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Mar 25, 2023 · Abstract. The objective of the study is to identify healthcare events leading to a diagnosis of dementia from a large real-world dataset.
Dec 18, 2023 · The objective of the study is to identify healthcare events leading to a diagnosis of dementia from a large real-world dataset.
Jul 5, 2017 · The number of people with dementia in England and Wales is likely to increase by 57% from 2016 to 2040. This increase is mainly driven by improved life ...
A second approach to increase the predictive power of SMI for dementia in older subjects without impairment is the assessment of SMI in temporal association ...
We examined whether performance on neuropsychological tests administered at baseline could predict incident cases of dementia in patients with vascular CIND ...
Cerebral small vessel disease (SVD) contributes to 45% of dementia cases worldwide, yet we lack a reliable model for predicting dementia in SVD.
Feb 28, 2024 · In our study, we build machine-learning models to predict whether a patient diagnosed with dementia will survive or die within 1, 3, 5, or 10 years.