Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notes
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Open Access
- 12 October 2024
- journal article
- research article
- Published by Elsevier in EBioMedicine
- Vol. 109, 105401
Abstract
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Funding Information
- National Library of Medicine
- National Institute on Aging
This publication has 29 references indexed in Scilit:
- Machine learning prediction of mild cognitive impairment and its progression to Alzheimer's diseaseHealth Science Reports, 2023
- Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic botExpert Systems with Applications, 2023
- 2023 Alzheimer's disease facts and figuresAlzheimer's & Dementia, 2023
- Developments in scalable strategies for detecting early markers of cognitive declineTranslational Psychiatry, 2022
- Ensemble deep learning: A reviewEngineering Applications of Artificial Intelligence, 2022
- Development and Validation of a Deep Learning Model for Earlier Detection of Cognitive Decline From Clinical Notes in Electronic Health RecordsJAMA Network Open, 2021
- Development and Validation of a Deep Learning Model for Detection of Allergic Reactions Using Safety Event Reports Across HospitalsJAMA Network Open, 2020
- Maximizing diversity by transformed ensemble learningApplied Soft Computing, 2019
- Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging InitiativeAlzheimer's & Dementia, 2018
- A hybrid data mining model for diagnosis of patients with clinical suspicion of dementiaComputer Methods and Programs in Biomedicine, 2018