BMJ

Development and validation of a machine learning-based prediction model for frailty in older adults with diabetes: a study protocol for a retrospective cohort study

Introduction Frailty is a common condition in older adults with diabetes, which significantly increases the risk of adverse health outcomes. Early identification of frailty in this population is ...
Frontiers

Predicting prognosis of sepsis in patients based on right ventricular strain imaging development and validation of a nomogram model

1 Department of Ultrasound Imaging, the First College of Clinical Medical Science, China Three Gorges University & Yichang Central People’s Hospital, Yichang, China 2 Department of General Practice, ...
SciELO

Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing ...

Introduction We aimed to create and validate the 30-day prognostic score for mortality in patients with surgical wound infection (SWICS-30) after cardiothoracic surgery. Methods This retrospective ...
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.
eWeek

What is Logistic Regression? A Comprehensive Guide

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Logistic regression is a statistical technique used to ...
IEEE

Analyzing the Performance of Novel Logistic Regression over Linear Regression Algorithms for Predicting Fake Job with Improved Accuracy

Abstract: This study tries to detect fake job advertisements online using Novel Logistic Regression and compares its accuracy with linear regression. Data collection and model training are essential ...
IEEE

Use Logistic Regression model and SPSS Software to analyze the Added Value and Influencing Factors of the Employability of Postgraduates in Engineering

Abstract: SPSS26.0 software-assisted construction of logistic regression model, in order to study the increment of employment ability and its influencing factors of engineering postgraduates. The ...