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References from Development and external validation of an explainable machine learning model for in-hospital mortality risk stratification in intensive care unit patients with heart failure. Local targets link to admitted publications; unresolved targets remain external evidence.
Global burden of heart failure: a comprehensive and updated review of epidemiology
10.1093/cvr/cvac013 · 2023 · External reference
2023 Focused update of the 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure
10.1093/eurheartj/ehad195 · 2023 · External reference
Predicting 28-day all-cause mortality in patients admitted to intensive care units with Pre-existing chronic heart failure using the stress hyperglycemia ratio: a machine learning-driven retrospective cohort analysis
10.1186/s12933-025-02577-z · 2025 · External reference
Metabolic, structural and biochemical changes in diabetes and the development of heart failure
10.1007/s00125-021-05637-7 · 2022 · External reference
From kidney injury to cardiac dysfunction: the central role of oxidative stress in diabetes and Ckd
10.1007/s00395-025-01153-6 · 2026 · External reference
Early prediction of in-hospital mortality in ICU patients with heart failure using an interpretable machine learning model: a retrospective study based on MIMIC-IV
10.1186/s12872-026-05943-1 · 2026 · External reference
Machine learning for predicting in-hospital mortality in elderly patients with heart failure combined with hypertension: a multicenter retrospective study
10.1186/s12933-024-02503-9 · 2024 · External reference
Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: a retrospective cohort study based on medical information mart for intensive care database-iv and eicu databases
10.3389/fcvm.2022.994359 · 2022 · External reference
Diabetic myocardial disorder. A clinical consensus statement of the Heart Failure Association of the ESC and the ESC Working Group on myocardial & pericardial diseases
10.1002/ejhf.3347 · 2024 · External reference
Contributions of inflammation to cardiometabolic heart failure with preserved ejection fraction
10.1146/annurev-pathmechdis-111523-023405 · 2025 · External reference
Immuno-Haemostatic dysregulation in heart failure with preserved ejection fraction
10.1002/ehf2.15361 · 2025 · External reference
Association between triglyceride glucose-body mass and one-year all-cause mortality of patients with heart failure: a retrospective study utilizing the MIMIC-IV database
10.1186/s12933-023-02047-4 · 2023 · External reference
Machine learning for mortality prediction in patients with heart failure with mildly reduced ejection fraction
10.1161/jaha.122.029124 · 2023 · External reference
Advanced prediction of heart failure risk in elderly diabetic and hypertensive patients using nine machine learning models and novel composite indices: insights from nhanes 2003–2016
10.1093/eurjpc/zwaf081 · 2026 · External reference
Predicting mortality in intensive care unit patients with heart failure using an interpretable machine learning model: retrospective cohort study
10.2196/38082 · 2022 · External reference
A transformer-based survival model for prediction of all-cause mortality in patients with heart failure: a multi-cohort study
10.1038/s41746-025-02296-5 · 2026 · External reference
Comparing machine learning models and statistical models for predicting heart failure events: a systematic review and meta-analysis
10.3389/fcvm.2022.812276 · 2022 · External reference
Triglyceride glucose Index and its combination with the get with the guidelines-heart failure score in predicting the prognosis in patients with heart failure
10.3389/fnut.2022.950338 · 2022 · External reference
Development and validation of a machine learning model for incident heart failure prediction in chronic kidney disease: a multicenter cohort study
10.1161/jaha.125.046156 · 2026 · External reference
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study
10.1016/s2589-7500(23)00065-1 · 2023 · External reference
Machine learning based readmission and mortality prediction in heart failure patients
10.1038/s41598-023-45925-3 · 2023 · External reference
The cholesterol, high-density lipoprotein, and glucose Index as a metabolic-nutritional biomarker for risk stratification in hospitalized heart failure patients
10.3389/fnut.2026.1805016 · 2026 · External reference
The C-reactive protein-triglyceride glucose Index (cti) predicts mortality in cardiovascular-kidney-metabolic syndrome: a dual-cohort study with machine learning validation
10.1097/js9.0000000000003560 · 2026 · External reference
Development and external validation of an interpretable machine-learning model for hfpef comorbidity risk in copd patients
10.1186/s12931-026-03711-5 · 2026 · External reference
Big data and trustworthy ai for heart failure: a review
10.1161/circheartfailure.125.013823 · 2026 · External reference
Tripod+ai statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
MIMIC-IV, a freely accessible electronic health record dataset
10.1038/s41597-022-01899-x · 2023 · External reference
Validity of international classification of diseases (icd)-10 diagnosis codes for identification of acute heart failure hospitalization and heart failure with reduced versus preserved ejection fraction in a national medicare sample
10.1161/circoutcomes.122.009078 · 2023 · External reference
Stroke-Heart syndrome: recent advances and challenges
10.1161/jaha.122.026528 · 2022 · External reference
Multicenter machine learning model for assessing the impact of malignancy on in-hospital mortality in heart failure patients: a clinical decision support system with interpretable artificial intelligence
10.1038/s41598-026-52487-7 · 2026 · External reference
Autoimmune disorders in heart failure with preserved ejection fraction
10.1016/j.jchf.2024.04.016 · 2024 · External reference
High-Dimensional machine learning models for prediction of heart failure in more than 400 000 men and women from the UK biobank
10.1093/ehjdh/ztaf118 · 2025 · External reference
Predicting icu mortality in heart failure patients based on blood tests and vital signs
10.3389/fcvm.2025.1590367 · 2025 · External reference
Methods for addressing missingness in electronic health record data for clinical prediction models: comparative evaluation
10.2196/79307 · 2025 · External reference
Enhanced heart failure mortality prediction through model-independent hybrid feature selection and explainable machine learning
10.1016/j.jbi.2025.104800 · 2025 · External reference
A self-inspected adaptive smote algorithm (sasmote) for highly imbalanced data classification in healthcare
10.1186/s13040-023-00330-4 · 2023 · External reference
Temporal validation of a machine learning readmission model in patients with heart failure with preserved ejection fraction and chronic kidney disease
10.1016/j.cjca.2026.03.006 · 2026 · External reference
A new framework to enhance the interpretation of external validation studies of clinical prediction models
10.1016/j.jclinepi.2014.06.018 · 2014 · External reference
External validation of clinical prediction models using big datasets from E-health records or ipd meta-analysis: opportunities and challenges
10.1136/bmj.i3140 · 2016 · External reference
Prognostic significance of blood urea nitrogen-to-albumin ratio in heart failure: from baseline and age-specific risk stratification to one-year dynamic changes
10.1016/j.jjcc.2026.02.008 · 2026 · External reference
Predictive value of blood urea nitrogen in heart failure: a systematic review and meta-analysis
10.3389/fcvm.2023.1189884 · 2023 · External reference
Aging and metabolism in hfpef: pathophysiology and therapeutic implications
10.1016/j.metabol.2025.156460 · 2026 · External reference
Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study
10.1016/j.lanwpc.2026.101808 · 2026 · External reference
Multiple plasma biomarkers for risk stratification in patients with heart failure and preserved ejection fraction
10.1016/j.jacc.2019.12.069 · 2020 · External reference
Neutrophil extracellular traps in cardiac hypertrophy: a Klf2 perspective
10.1172/jci156453 · 2022 · External reference
Association between the triglyceride-glucose Index and the risk of mortality among patients with chronic heart failure: results from a retrospective cohort study in China
10.1186/s12933-023-01895-4 · 2023 · External reference
Potassium levels and the risk of all-cause and cardiovascular mortality among patients with cardiovascular diseases: a meta-analysis of cohort studies
10.1186/s12937-023-00888-z · 2024 · External reference
Acr appropriateness criteria® suspected and known heart failure: 2024 update
10.1016/j.jacr.2025.02.021 · 2025 · External reference
Cardiac remodelling - part 2: clinical, imaging and laboratory findings. A review from the study group on biomarkers of the heart failure association of the European Society of Cardiology
10.1002/ejhf.2522 · 2022 · External reference
Dietary strategies to improve cardiovascular health: focus on increasing high-density lipoprotein functionality
10.3389/fnut.2021.761170 · 2021 · External reference