ArticleInternational journal of environmental research and public health2017
Longitudinal Study-Based Dementia Prediction for Public Health.
Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of Machine Learning and Artificial Intelligence Methods in Geriatric Mental Health Research Involving Electronic Health Record or Administrative Claims Data: A Systematic Review.Frontiers in psychiatry · 2021Pooled it
- Multidimensional data analysis and classification using SMIAL.Communications biology · 2026Article
- Development of machine learning models for prediction of current and future dementia.PloS one · 2025Article
- Dementia and the history of disease in older adults in community.BMC public health · 2023Article
- Medical Health Records-Based Mild Cognitive Impairment (MCI) Prediction for Effective Dementia Care.International journal of environmental research and public health · 2021Article
- Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review.JAMIA open · 2021Review
- Prevalence and Incidence of Dementia in South Korea: A Nationwide Analysis of the National Health Insurance Service Senior Cohort.Journal of clinical neurology (Seoul, Korea) · 2021Article
- Gender-Based Analysis of Risk Factors for Dementia Using Senior Cohort.International journal of environmental research and public health · 2020Article
- Dose response relationship of cumulative anticholinergic exposure with incident dementia: validation study of Korean anticholinergic burden scale.BMC geriatrics · 2020Article
- Cohort Profile: National health insurance service-senior (NHIS-senior) cohort in Korea.BMJ open · 2019Article
- Wave2Vec: Vectorizing Electroencephalography Bio-Signal for Prediction of Brain Disease.International journal of environmental research and public health · 2018Article
- Advancing dementia identification using machine learning and real-world sequential health data.Alzheimer's & dementia (Amsterdam, Netherlands)Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The issue of public health in Korea has attracted significant attention given the aging of the country's population, which has created many types of social problems. The approach proposed in this article aims to address dementia, one of the most significant symptoms of aging and a public health care issue in Korea. The Korean National Health Insurance Service Senior Cohort Database contains personal medical data of every citizen in Korea. There are many different medical history patterns between individuals with dementia and normal controls. The approach used in this study involved examination of personal medical history features from personal disease history, sociodemographic data, and personal health examinations to develop a prediction model. The prediction model used a support-vector machine learning technique to perform a 10-fold cross-validation analysis. The experimental results demonstrated promising performance (80.9% F-measure). The proposed approach supported the significant influence of personal medical history features during an optimal observation period. It is anticipated that a biomedical "big data"-based disease prediction model may assist the diagnosis of any disease more correctly.
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Registered trials
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