Dementia Prediction Using Hierarchical Attention and Evaluation of Context Quality

Using a real-world dataset, we demonstrate that analyzing clinical notes can serve as an effective method for early dementia screening. Furthermore, we observe that utilizing the quality of textual data enables the extraction of more nuanced contextual information, resulting in improved performance.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70857_102378
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Dementia Prediction Using Hierarchical Attention and Evaluation of Context Quality

Hee Jung Kim, S. Lim, Ilju Lee, O. Y. Kim et al.
Alzheimer s & Dementia
Machine Learning in Healthcare
article

Dementia Prediction Using Hierarchical Attention and Evaluation of Context Quality

Hee Jung Kim, S. Lim, Ilju Lee, O. Y. Kim, Hyun Woo Jung, Sehwan Kim, Jung Jae Lee, Keunsoo Kang, Kyu‐haeng Lee
article en

Abstract

Using a real-world dataset, we demonstrate that analyzing clinical notes can serve as an effective method for early dementia screening. Furthermore, we observe that utilizing the quality of textual data enables the extraction of more nuanced contextual information, resulting in improved performance.

Alzheimer s & DementiaVol. 21(S3)
Dankook University (KR)
Quality Education
Openalex Percentile: Top 18%
Machine Learning in Healthcare
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