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References from Heart Failure: Diagnosis, Severity Estimation and Prediction of Adverse Events Through Machine Learning Techniques. Local targets link to admitted publications; unresolved targets remain external evidence.
ESC guidelines for the diagnosis and treatment of acute and chronic heart failure
2016 · External reference
Unresolved reference
2015 · External reference
The heart failure epidemic
2012 · External reference
Decision-making model for early diagnosis of congestive heart failure using rough set and decision tree approaches
10.1016/j.jbi.2012.04.013 · 2012 · External reference
The heart failure epidemic
10.3390/ijerph7041807 · 2010 · External reference
ESC guidelines for the diagnosis and treatment of acute and chronic heart failure 2008 the task force for the diagnosis and treatment of acute and chronic heart failure 2008 of the European Society of Cardiology. Developed in collaboration with the heart failure association of the ESC (HFA) and endorsed by the European Society of Intensive Care Medicine (ESICM)
10.1093/eurheartj/ehn309 · 2008 · External reference
Unresolved reference
2003 · External reference
Combining classical HRV indices with wavelet entropy measures improves to performance in diagnosing congestive heart failure
10.1016/j.compbiomed.2007.01.012 · 2007 · External reference
A classification system to detect congestive heart failure using second-order difference plot of RR intervals
10.4061/2009/807379 · 2009 · External reference
Unresolved reference
2011 · External reference
10.1109/titb.2010.2091647
10.1109/titb.2010.2091647 · External reference
Discrimination power of long-term heart rate variability measures for chronic heart failure detection
10.1007/s11517-010-0728-5 · 2011 · External reference
Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability features
10.1016/j.artmed.2010.09.005 · 2011 · External reference
Conditional mutual information-based feature selection for congestive heart failure recognition using heart rate variability
10.1016/j.cmpb.2011.12.015 · 2012 · External reference
Bispectral analysis and genetic algorithm for congestive heart failure recognition based on heart rate variability
10.1016/j.compbiomed.2012.06.005 · 2012 · External reference
A new approach to detect congestive heart failure using short-term heart rate variability measures
10.1371/journal.pone.0093399 · 2014 · External reference
Investigating the performance improvement of HRV indices in CHF using feature selection methods based on backward elimination and statistical significance
10.1016/j.compbiomed.2013.11.016 · 2014 · External reference
Unresolved reference
2014 · External reference
10.1109/bmei.2010.5639619
10.1109/bmei.2010.5639619 · External reference
Unresolved reference
2011 · External reference
Congestive heart failure detection using random forest classifier
10.1016/j.cmpb.2016.03.020 · 2016 · External reference
PhysioBank, PhysioToolkit, and PhysioNet components of a new research resource for complex physiologic signals
10.1161/01.cir.101.23.e215 · 2000 · External reference
Prediction modeling using EHR data: challenges, strategies, and a comparison of machine learning approaches
10.1097/mlr.0b013e3181de9e17 · 2010 · External reference
Computer-assisted diagnosis for chronic heart failure by the analysis of their cardiac reserve and heart sound characteristics
10.1016/j.cmpb.2015.09.001 · 2015 · External reference
Exploring guidelines for classification of major heart failure subtypes by using machine learning
2015 · External reference
Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes
10.1016/j.jclinepi.2012.11.008 · 2013 · External reference
Discrimination of systolic and diastolic dysfunctions using multi-layer perceptron in heart rate variability analysis
10.1016/j.compbiomed.2016.06.029 · 2016 · External reference
10.1161/circulationaha.114.010637
10.1161/circulationaha.114.010637 · External reference
Assessment of functional capacity in clinical and research applications: an advisory from the committee on exercise, rehabilitation, and prevention, council on clinical cardiology, American Heart Association
10.1161/01.cir.102.13.1591 · 2000 · External reference
Unresolved reference
2009 · External reference
10.1007/978-3-642-30779-9_44
10.1007/978-3-642-30779-9_44 · 2012 · External reference
A machine learning system to improve heart failure patient assistance
10.1109/jbhi.2014.2337752 · 2014 · External reference
A multi-layer monitoring system for clinical management of congestive heart failure
10.1186/1472-6947-15-s3-s5 · 2015 · External reference
Role of spectral measures of heart rate variability as markers of disease progression in patients with chronic congestive heart failure not treated with angiotensin-converting enzyme inhibitors
10.1016/s0002-8703(96)90064-2 · 1996 · External reference
The pNNx files: re-examining a widely used heart rate variability measure
10.1136/heart.88.4.378 · 2002 · External reference
Heart rate variability in heart failure
2003 · External reference
Heart rate variability in chronic heart failure and its role in prognosis of the disease
2006 · External reference
Heart rate variability and functional severity of congestive heart failure secondary to coronary artery disease
10.1093/oxfordjournals.eurheartj.a060919 · 1995 · External reference
Remote health monitoring of heart failure with data mining via CART method on HRV features
10.1109/tbme.2010.2092776 · 2011 · External reference
Classification tree for risk assessment in patients suffering from congestive heart failure via long-term heart rate variability
10.1109/jbhi.2013.2244902 · 2013 · External reference
Generalized discriminant analysis for congestiveheart failure risk assessment based on long-termheart rate variability
10.1016/j.cmpb.2015.08.007 · 2015 · External reference
A Bayesian missing value estimation method for gene expression profile data
10.1093/bioinformatics/btg287 · 2003 · External reference
10.1023/a:1022627411411
10.1023/a:1022627411411 · External reference
10.1002/bimj.200410135
10.1002/bimj.200410135 · External reference
A data-driven feature extraction framework for predicting the severity of condition of congestive heart failure patients
2015 · External reference
Multivariate risk scores and patient outcomes in advanced heart failure
10.1111/j.1751-7133.2011.00241.x · 2011 · External reference
A validated risk score for in-hospital mortality in patients with heart failure from the American Heart Association get with the guidelines program
10.1161/circoutcomes.109.854877 · 2010 · External reference
The Seattle heart failure model prediction of survival in heart failure
10.1161/circulationaha.105.584102 · 2006 · External reference
10.1001/jama.290.19.2581
10.1001/jama.290.19.2581 · External reference
Prediction of hospital readmission for heart failure: development of a simple risk score based on administrative data
10.1016/s0735-1097(99)00059-5 · 1999 · External reference
Predictors of mortality and morbidity in patients with chronic heart failure
10.1093/eurheartj/ehi555 · 2006 · External reference
Early detection of decompensation conditions in heart failure patients by knowledge discovery: the HEARTFAID approaches
2008 · External reference
Unresolved reference
2009 · External reference
A hyper-solution framework for SVM classification: application for predicting destabilizations in chronic heart failure patients
10.2174/1874431101004010136 · 2010 · External reference
Unresolved reference
2013 · External reference
Unresolved reference
2013 · External reference
10.1145/2783258.2788585
10.1145/2783258.2788585 · 2015 · External reference
Telemonitoring predicts in advance heart failure admissions
10.1016/j.ijcard.2016.04.149 · 2016 · External reference
A mixed-ensemble model for hospital readmission
10.1016/j.artmed.2016.08.005 · 2016 · External reference
Utilizing home healthcare electronic health records for telehomecare patients with heart failure. A decision tree approach to detect associations with rehospitalizations
10.1097/cin.0000000000000223 · 2016 · External reference
Risk stratification for in-hospital mortality in acutely decompensated heart failure: classification and regression tree analysis
10.1001/jama.293.5.572 · 2005 · External reference
Alternating decision tree applied to risk assessment of heart failure patients
2013 · External reference
Unresolved reference
2015 · External reference
Using EHRs and machine learning for heart failure survival analysis
2015 · External reference
Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function
10.1016/j.jbi.2016.01.009 · 2016 · External reference
Regression trees for predicting mortality in patients with cardiovascular disease: what improvement is achieved by using ensemble-based methods?
10.1002/bimj.201100251 · 2012 · External reference
New predictive models of heart failure mortality using time-series measurements and ensemble models
10.1161/circheartfailure.110.958496 · 2011 · External reference
Automatic SVM classification of sudden cardiac death and pump failure death from autonomic and repolarization ECG markers
10.1016/j.jelectrocard.2015.04.002 · 2015 · External reference
10.1016/j.ahj.2004.08.005
10.1016/j.ahj.2004.08.005 · External reference
