Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Frontiers

Derivation of an updated brief multivariable prediction model to detect panic-related anxiety in emergency department patients with cardiopulmonary complaints

Patients with panic related-anxiety (i.e., panic attacks or panic disorder) frequently present to emergency departments (EDs) with cardiopulmonary complaints but are often undiagnosed, which can lead ...
Frontiers

Association between marital status and in-hospital mortality in patients with acute coronary syndrome: a multivariable logistic regression analysis

Background: In patients with acute coronary syndrome (ACS), marital status may have a significant impact on the prognosis. However, it remains unclear whether marital status influences in-hospital ...
IEEE

PrivESD: A Privacy-Preserving Cloud-Edge Collaborative Logistic Regression Model Over Encrypted Streaming Data

Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...
IEEE

Healthcare Seeking Behavior of Tuberculosis Using Logistic Regression Model

Abstract: Background: India has been known as a developing country in the world and has to face several developmental challenges. One of the major challenges is the disease problem which impacts both ...