Identification of novel pheno-groups in heart failure with preserved ejection fraction using machine learning - Hedman, Åsa K; Hage, Camilla; Sharma, Anil; Brosnan, Mary Julia; Buckbinder, Leonard; Gan, Li-Ming; Shah, Sanjiv J; Linde, Cecilia M; Donal, Erwan; Daubert, Jean-Claude; Mälarstig, Anders; Ziemek, Daniel; et al. (Heart (British Cardiac Society), 2020)
Keywords: association; Bioengineering; Biomarkers; Blood pressure; Body mass index; Cardiac arrhythmia; Cardiology and Cardiovascular Disease; Cardiovascular disease; Cardiovascular System & Cardiology; Chronic obstructive pulmonary disease; Diabetes; dysfunction; ECG/electrocardiogram; Ejection fraction; Genotype & phenotype; Heart failure; Heart failure and cardiomyopathies; heart failure with preserved ejection fraction; Kardiologi och kardiovaskulära sjukdomar; Kidney diseases; Laboratories; Life Sciences; Machine learning; Medical prognosis; outcomes; Patients; predicting survival; Proteins; Proteomics; risk score; subgroups; therapies; Variables; Velocity; Sweden; ECG/electrocardiogram; heart failure with preserved ejection fraction