ArticleJournal of medical Internet research2021
A Risk Prediction Model Based on Machine Learning for Cognitive Impairment Among Chinese Community-Dwelling Elderly People With Normal Cognition: Development and Validation Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.
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Who cites it
74 citing papers in PubMed, 1 synthesis or guideline pooled it, 132 citations in OpenAlex.
- Application of machine learning in measurement of ageing and geriatric diseases: a systematic review.BMC geriatrics · 2023Pooled it
- Development and validation of a prediction model based on machine learning algorithms for predicting the risk of heart failure in middle-aged and older US people with prediabetes or diabetes.Clinical cardiology · 2023Trial
- Predicting mild cognitive impairment among rural older adults in China: development and validation of a risk prediction model.BMC geriatrics · 2026Article
- Development of a clinical nomogram to assess the risk of cognitive impairment in community-dwelling middle-aged and older adults.BMC neurology · 2026Article
- Community Health Nurses' Knowledge and Perceptions of AI in Canada: National Cross-Sectional Survey.JMIR nursing · 2026Article
- Development and validation of a risk prediction model for mild cognitive impairment in older Chinese adults with chronic diseases.BMC geriatrics · 2026Observational
- Development and validation of a prediction model for long-term cognitive frailty risk in stroke patients based on CHARLS data.PloS one · 2026Article
- Application of artificial intelligence in oral health management: challenges and opportunities.Frontiers in medicine · 2026Review
- A 6-year cohort study of the associations of body mass index, waist circumference, and waist-hip ratio with cognitive impairment in Chinese elderly.Frontiers in psychology · 2026Article
- Predicting anti-CCP positivity and early rheumatoid arthritis onset from routine laboratory parameters: a SHAP-explained machine learning pipeline.Frontiers in medicine · 2026Article
- Development and temporal validation of a prediction model for cognitive impairment in older adults with hearing loss based on the population health risk management framework.Frontiers in public health · 2026Article
- Towards cost-effective cognitive impairment diagnosis systems by emulating doctors' reasoning with deep reinforcement learning.BMC geriatrics · 2025Article
- Associations of protein-enriched dietary diversity, anti-inflammatory dietary diversity, and low muscle mass among older Chinese adults: a nationwide cross-sectional analysis.BMC geriatrics · 2025Article
- Imaging Diagnosis of Mild Cognitive Impairment: A Bibliometric Analysis (1999-2024).Brain and behavior · 2025Article
- Trust and cognitive function: a population-based cross-sectional survey among older adults relocated for poverty alleviation in Shanxi, China.BMC geriatrics · 2025Article
- Early-stage diagnosis of HIV-associated neurocognitive disorders via multiple learning models based on resting-state functional magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2025Article
- Exploration and analysis of risk factors for coronary artery disease with type 2 diabetes based on SHAP explainable machine learning algorithm.Scientific reports · 2025Article
- Exploration of Risk Factors for Cardiovascular Disease in Patients with Rheumatoid Arthritis: A Retrospective Study.Inflammation · 2025Article
- Association of sleep and plant-based diet with cognitive function in older adults-Based on a national cohort study.Asia Pacific journal of clinical nutrition · 2025Article
- Denture use and all-cause mortality risk in Chinese edentulous elderly: a follow-up study.Scientific reports · 2025Article
14 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIdentifying cognitive impairment early enough could support timely intervention that may hinder or delay the trajectory of cognitive impairment, thus increasing the chances for successful cognitive aging.
objectiveWe aimed to build a prediction model based on machine learning for cognitive impairment among Chinese community-dwelling elderly people with normal cognition.
methodsA prospective cohort of 6718 older people from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) register, followed between 2008 and 2011, was used to develop and validate the prediction model. Participants were included if they were aged 60 years or above, were community-dwelling elderly people, and had a cognitive Mini-Mental State Examination (MMSE) score ≥18. They were excluded if they were diagnosed with a severe disease (eg, cancer and dementia) or were living in institutions. Cognitive impairment was identified using the Chinese version of the MMSE. Several machine learning algorithms (random forest, XGBoost, naïve Bayes, and logistic regression) were used to assess the 3-year risk of developing cognitive impairment. Optimal cutoffs and adjusted parameters were explored in validation data, and the model was further evaluated in test data. A nomogram was established to vividly present the prediction model.
resultsThe mean age of the participants was 80.4 years (SD 10.3 years), and 50.85% (3416/6718) were female. During a 3-year follow-up, 991 (14.8%) participants were identified with cognitive impairment. Among 45 features, the following four features were finally selected to develop the model: age, instrumental activities of daily living, marital status, and baseline cognitive function. The concordance index of the model constructed by logistic regression was 0.814 (95% CI 0.781-0.846). Older people with normal cognitive functioning having a nomogram score of less than 170 were considered to have a low 3-year risk of cognitive impairment, and those with a score of 170 or greater were considered to have a high 3-year risk of cognitive impairment.
conclusionsThis simple and feasible cognitive impairment prediction model could identify community-dwelling elderly people at the greatest 3-year risk for cognitive impairment, which could help community nurses in the early identification of dementia.
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