Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from Interpretable machine learning for multiclass trajectory prediction in cardiovascular-kidney-metabolic syndrome stage: development and external validation. Local targets link to admitted publications; unresolved targets remain external evidence.
Cardiovascular-kidney-metabolic health: A presidential advisory from the American Heart Association
10.1161/cir.0000000000001184 · 2023 · External reference
A synopsis of the evidence for the science and clinical management of cardiovascular-kidney-metabolic (CKM) syndrome: A scientific statement from the American Heart Association
10.1161/cir.0000000000001186 · 2023 · External reference
Prevalence of cardiovascular-kidney-metabolic syndrome stages in US adults, 2011-2020
10.1001/jama.2024.6892 · 2024 · External reference
Prevalence of cardiovascular-kidney-metabolic syndrome stages among middle-aged and older adults in China
10.1016/j.jacasi.2024.12.003 · 2025 · External reference
Explainable machine learning-driven predictive modelling of incident cognitive impairment in individuals with early-stage cardiovascular-kidney-metabolic syndrome: Insights from a longitudinal CHARLS cohort study
10.1111/dom.70346/v2/response1 · 2026 · External reference
Prediction of depression risk in middle-aged and elderly cardiovascular-kidney-metabolic syndrome patients by social and environmental determinants of health: An interpretable machine learning approach using longitudinal data from China
10.1186/s41043-025-00897-0 · 2025 · External reference
A powerful paradigm for cardiovascular risk stratification using multiclass, multi-label, and ensemble-based machine learning paradigms: A narrative review
10.3390/diagnostics12030722 · 2022 · External reference
Ensemble learning with explainable AI for improved heart disease prediction based on multiple datasets
10.1038/s41598-025-97547-6 · 2025 · External reference
An efficient stacked ensemble model for heart disease detection and classification
10.32604/cmc.2023.041031 · 2023 · External reference
Cohort profile: the China health and retirement longitudinal study (CHARLS)
10.1093/ije/dys203 · 2014 · External reference
Identification of key cardiovascular disease predictive factors from the China Health and Retirement Longitudinal Study dataset using machine learning-based algorithms
10.1186/s12967-026-07850-7 · 2026 · External reference
A comparative study of the use of stratified cross-validation and distribution-balanced stratified cross-validation in imbalanced learning
10.3390/s23042333 · 2023 · External reference
Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation
10.1186/s12874-016-0239-7 · 2016 · External reference
Learning from imbalanced data: Open challenges and future directions
10.1007/s13748-016-0094-0 · 2016 · External reference
Regularization and variable selection via the elastic net
10.1111/j.1467-9868.2005.00503.x · 2005 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
XGBoost: A scalable tree boosting system
10.1145/2939672.2939785 · 2016 · External reference
Greedy function approximation: A gradient boosting machine
10.1214/aos/1013203451 · 2001 · External reference
Stacked generalization
10.1016/s0893-6080(05)80023-1 · 1992 · External reference
Stacked regressions
10.1023/a:1018046112532 · 1996 · External reference
Calibration: The Achilles heel of predictive analytics
10.1186/s12916-019-1466-7 · 2019 · External reference
Decision curve analysis: A novel method for evaluating prediction models
10.1177/0272989x06295361 · 2006 · External reference
Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests
10.1136/bmj.i6 · 2016 · External reference
A unified approach to interpreting model predictions
2017 · External reference
From local explanations to global understanding with explainable AI for trees
10.1038/s42256-019-0138-9 · 2020 · External reference
UpSetR: An R package for the visualization of intersecting sets and their properties
10.1093/bioinformatics/btx364 · 2017 · External reference
mice: Multivariate imputation by chained equations in R
10.32614/cran.package.mice · 2011 · External reference
Multiple imputation using chained equations: Issues and guidance for practice
10.1002/sim.4067 · 2011 · External reference
Impact of cardiometabolic index on cardiovascular-kidney-metabolic syndrome stage progression: A nationwide prospective cohort study
10.1093/eurheartj/ehaf784.3531 · 2025 · External reference
Association of atherogenic index of plasma and its modified indices with stroke risk in individuals with cardiovascular-kidney-metabolic syndrome stages 0-3: A longitudinal analysis based on CHARLS
10.1186/s12933-025-02784-8 · 2025 · External reference
Regression to the mean: What it is and how to deal with it
10.1093/ije/dyh299 · 2005 · External reference
2023 AHA/ACC/ACCP/ASPC/NLA/PCNA guideline for the management of patients with chronic coronary disease: A report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines
10.1161/cir.0000000000001168 · 2023 · External reference
KDIGO 2024 Clinical practice guideline for the evaluation and management of chronic kidney disease
10.1016/j.kint.2023.10.018 · 2024 · External reference
Triglyceride-glucose index as a marker in cardiovascular diseases: Landscape and limitations
10.1186/s12933-022-01511-x · 2022 · External reference
Depression and cardiovascular disease: A clinical review
10.1093/eurheartj/eht462 · 2014 · External reference
HPA axis hyperactivity and cardiovascular mortality in mood disorder inpatients
10.1016/j.jad.2008.10.025 · 2009 · External reference
Cortisol dysregulation: The bidirectional link between stress, depression, and type 2 diabetes mellitus
10.1111/nyas.13217 · 2017 · External reference
Sleep duration predicts cardiovascular outcomes: A systematic review and meta-analysis of prospective studies
10.1093/eurheartj/ehr007 · 2011 · External reference
Relationship between depression and medication adherence in cardiovascular disease: The perfect challenge for the integrated care team
10.2147/ppa.s127277 · 2017 · External reference
Depression and medication adherence in the treatment of chronic diseases in the United States: A meta-analysis
10.1007/s11606-011-1704-y · 2011 · External reference
Smoking and cardiovascular disease: Mechanisms of endothelial dysfunction and early atherogenesis
10.1161/atvbaha.113.300156 · 2014 · External reference
