Heart failure (HF) represents a leading cause for hospitalization in older patients [1].
Furthermore, its presence associates with a poorer clinical outcome, particularly when …

Background Heart failure is one of the leading causes of hospitalization in the United States.
Advances in big data solutions allow for storage, management, and mining of large volumes …

Heart failure (HF) is the main reason for readmission in hospitals, especially for elderly
patients. To prevent HF recurrence, we propose a method to predict HF probability for …

Abstract Congestive Heart Failure (CHF) is one of the leading causes of hospitalization, and
studies show that many of these admissions are readmissions. Identifying patients who are …

Mitigating risk-of-readmission of Congestive Heart Failure (CHF) patients within 30 days of
discharge is important because such readmissions are not only expensive but also critical …

Abstract Machine learning (ML) techniques may improve readmission prediction
performance in heart failure (HF) patients. This study aimed to assess the ability of ML …

Background Machine-learning techniques have been recently utilized to predict the
probability of unfavorable outcomes among elderly patients suffering from heart failure (HF); …

Introduction: Readmissions are common, costly and often preventable. The LACE risk score
is an established index to quantify the risk of readmission or death. We used machine …

Heart Failure (HF) is a clinical syndrome caused by a structural and/or functional cardiac
abnormality that imposes tremendous burden on patients and on the healthcare systems …

ABSTRACT Congestive Heart Failure (CHF) is one of the leading causes of hospitalization,
and studies show that many of these admissions are readmissions within a short window of …