BMJ Open

Self-efficacy and influencing factors of returning to work in young and middle-aged patients with aortic dissection in China: a cross-sectional study using latent profile a…

The latent profile analysis was used to identify the self-efficacy groups of young and middle-aged patients with aortic ...
Open Heart

Trends and risk factors of stroke and mortality after transcatheter aortic valve implantation in the Netherlands

Background Stroke after transcatheter aortic valve implantation (TAVI) is an infrequent but serious complication with ...
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 ...
Hosted on MSN

Build Logistic Regression From Scratch In Python – You Won'T Believe How Easy It Is!

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you understand ...
Albert Lea Tribune

How to Manage the Logistic Regression Tool

Using data to make smart decisions is powerful—but only if you know how to manage the tools behind it. Logistic regression, one of the most widely used methods in data analysis,... Using data to make ...
Frontiers

Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients

Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.