The heart failure syndrome has first been described as an emerging epidemic about 25
years ago. Today, because of a growing and ageing population, the total number of heart …

Importance Worldwide, the burden of heart failure has increased to an estimated 23 million
people, and approximately 50% of cases are HF with reduced ejection fraction (HFrEF) …

Background This study sought to evaluate the performance of machine learning (ML)
models and establish an explainable ML model with good prediction of 3-year all-cause …

This article updates the Heart Failure Association of the European Society of Cardiology
(ESC) 2007 classification of advanced heart failure and describes new diagnostic and …

5.2. 1. Ocena funkcji skurczowej lewej komory...................................... 1052 5.2. 2. Ocena
funkcji rozkurczowej lewej komory...................................... 1052 5.2. 3. Ocena funkcji prawej …

Long-term mechanical circulatory support (LT-MCS) is an important treatment modality for
patients with severe heart failure. Different devices are available, and many—sometimes …

Despite the advancement in medicine, management of heart failure (HF), which usually
presents as a disease syndrome, has been a challenge to healthcare providers. This is …

Objectives: This study sought to develop models for predicting mortality and heart failure
(HF) hospitalization for outpatients with HF with preserved ejection fraction (HFpEF) in the …

Importance Accurate risk stratification of patients with heart failure (HF) is critical to deploy
targeted interventions aimed at improving patients' quality of life and outcomes. Objectives …

Background—The current ability to predict readmissions in patients with heart failure is
modest at best. It is unclear whether machine learning techniques that address higher …