eComplex Trauma and Resilience Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK fPsychosis Research Unit, Greater Manchester Mental Health NHS Foundation Trust, ...

Abstract: This paper's primary goal is to use machine learning techniques, specifically Logistic Regression and Decision Trees, to identify bogus news on social media. An innovative logistic model is ...

Each scenario was independently evaluated by GPT-4o thrice. Data analyses included Wilcoxon tests, Kendall correlation coefficients, and logistic regression analyses. Results: In the first phase, ...

In pet genetics, cancer research, and beyond, Charlie Lieu, MBA ’05, SM ’05, has spent her career harnessing massive data sets to make the world better for everyone. A photogenic green-eyed Russian ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

#' @title Extract the design matrix used to train a Cox model #' @description Extract the design matrix used to train a Cox model. Should contain the time of event, the type of event, #' the variable ...

The Pexar Starlight is a striking digital photo frame. Its 'Gallery Lighting' feature, which gives the entire frame a subtle golden glow, really does lift it from its surroundings and draws viewers' ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...