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 ...
IEEE

Churn Rate Prediction System using Logistic Regression, SVM, and Random Forest Models

Abstract: Customers are the life blood of any business, and their importance cannot be overstated. Customers are a business’s primary source of revenue. Retaining and gaining new clients is crucial to ...
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 ...
Reuters

Stellantis to hike Italy output this year thanks to new models, Europe chief says

Passenger vehicle production in Italy hit 71-year low last year Unveiled commitments at end-2024 to solve tensions with govt To introduce two new models at Melfi in 2026, third one by 2028 MILAN, Jan ...