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References from Explainable machine learning for identifying mild cognitive impairment in older adults with chronic diseases: Model development and temporal validation. Local targets link to admitted publications; unresolved targets remain external evidence.
Random forests
10.1023/a:1010933404324 · 2001 · External reference
SMOTE: Synthetic minority over-sampling technique
10.1613/jair.953 · 2002 · External reference
Unresolved reference
2016 · External reference
Support-vector networks
10.1023/a:1022627411411 · 1995 · External reference
Bootstrap methods: Another look at the jackknife
10.1214/aos/1176344552 · 1979 · External reference
Social isolation and cognitive function in later life: A systematic review and meta-analysis
10.3233/jad-180501 · 2019 · External reference
Feature relevance quantification in explainable AI: A causal problem
2020 · External reference
Mild cognitive impairment and deficits in instrumental activities of daily living: A systematic review
2015 · External reference
LightGBM: A highly efficient gradient boosting decision tree
2017 · External reference
Development of a neural network-based risk prediction model for mild cognitive impairment in older adults with functional disability
10.1186/s12889-025-23310-1 · 2025 · External reference
Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission
10.1016/s0140-6736(24)01296-0 · 2024 · External reference
Self-reported sleep duration and cognitive performance in older adults: A systematic review and meta-analysis
10.1016/j.sleep.2015.08.021 · 2016 · External reference
Deep learning for depression prediction in older adults: A retrospective cohort study from CHARLS (2011–2020) with independent cohort validation in CLHLS (2008–2018)
10.1016/j.jad.2026.121206 · 2026 · External reference
Effect of sleep on overnight cerebrospinal fluid amyloid β kinetics
10.1002/ana.25117 · 2018 · External reference
From local explanations to global understanding with explainable AI for trees
10.1038/s42256-019-0138-9 · 2020 · External reference
Machine learning-based decision-making in geriatrics: Aging phenotype calculator and survival prognosis
2025 · External reference
Mild cognitive impairment as a diagnostic entity
10.1111/j.1365-2796.2004.01388.x · 2004 · External reference
The relation between cognitive functioning and activities of daily living in normal aging, mild cognitive impairment, and dementia: A meta-analysis
10.1007/s10072-024-07366-2 · 2024 · External reference
Cognitive reserve in ageing and Alzheimer’s disease
10.1016/s1474-4422(12)70191-6 · 2012 · External reference
Multimorbidity increases the risk of dementia: A 15 year follow-up of the SHARE study
10.1093/ageing/afad052 · 2023 · External reference
Mechanisms of cognitive dysfunction in CKD
10.1038/s41581-020-0266-9 · 2020 · External reference
Interpretable machine learning models for identifying cognitive impairment in middle-aged and older adults with mild and severe insomnia: Development, temporal validation, and clinical external validation
2026 · External reference
Severe obstructive sleep apnea in patients with chronic obstructive pulmonary disease is associated with an increased prevalence of mild cognitive impairment
10.1016/j.sleep.2020.05.002 · 2020 · External reference
Sleep disturbance forecasts β-amyloid accumulation across subsequent years
10.1016/j.cub.2020.08.017 · 2020 · External reference
Development and validation of a machine learning model for early screening of high-risk mild cognitive impairment from the multi-cohort data
10.1016/j.ijmedinf.2025.106030 · 2025 · External reference
Explainable machine learning for perioperative risk stratification of radiographic adjacent segment degeneration after short-segment lumbar fusion
10.1097/brs.0000000000005802 · 2026 · External reference
Association between living arrangements and cognitive decline in older adults: A nationally representative longitudinal study in China
10.1186/s12877-022-03473-x · 2022 · External reference
Establishment of a mild cognitive impairment risk model in middle-aged and older adults: A longitudinal study
10.1007/s10072-024-07536-2 · 2024 · External reference