Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

A comprehensive machine learning web application that predicts disease risk based on patient medical parameters using Logistic Regression and Random Forest algorithms. This project provides an ...

Messe München, organiser of the world-renowned transport logistics exhibition series, and Heavy Lift & Project Forwarding International (HLPFI) have announced a strategic partnership aimed at ...

To develop a machine learning model using logistic regression to predict the likelihood of cancer (e.g., benign or malignant) based on diagnostic data. Dataset: Utilized publicly available cancer ...

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.

Construction work on VGP Park Logistic Center located in Arad, Romania commenced in Q3 2024, after the project was announced in Q3 2022. According to GlobalData, who tracks and profiles more than ...

Project 2025 could pose significant risks to the disabled community during a hypothetical second term for former President Donald Trump, according to activists, lawyers and lawmakers. In a statement ...