ArticleAlzheimer's & dementia (New York, N. Y.)
AI approaches for phenotyping Alzheimer's disease and related dementias using electronic health records.
Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- AI approaches for phenotyping Alzheimer's disease and related dementias using electronic health records.Alzheimer's & dementia (New York, N. Y.)Article
- Locally deployed large language model for real-world lecanemab eligibility pre-screening.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
9 authors.
Funding
Abstract
introductionThe current standard electronic (e-)phenotype for identifying patients with Alzheimer's disease and related dementias (ADRD) from medical claims data yields suboptimal diagnostic accuracy. This study leveraged artificial intelligence (AI)-based text-classification methods to improve the identification of patients with dementia due to ADRD using clinical notes from electronic health records (EHRs).
methodsEHR data for patients aged ≥ 64 (
resultsA foundational LLM derived from Llama 2 demonstrated superior performance in identifying patients with ADRD (area under the curve [AUC] = 0.9534, DISCUSSION: These findings highlight the potential of AI-based text-classification methods to optimize the automated identification of patients with ADRD using rich EHR data. However, the success of this approach depends on the quality of clinical notes, and more work is needed to refine and validate these methods across more diverse data sets. Highlights: The current e-phenotype for patients with Alzheimer's disease and related dementias (ADRD) in electronic health records has suboptimal diagnostic accuracy.The study used artificial intelligence (AI)-based text classification methods to improve the detection of patients with ADRD.AI-based models, including convolutional neural networks, outperformed the Chronic Conditions Warehouse algorithm.
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