Objectives To test the performance of new variants of models to identify people at risk of an emergency hospital admission. We compared (1) the impact of using alternative data sources (hospital ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Unlike many machine learning regression techniques, NW kernel regression does not do any explicit training to produce a mathematical prediction equation. NW kernel regression predictions are generated ...

What are standardized residuals? How do I calculate it? How do I use it and interpret it? What are its benefits? The answers to these questions and more can be found below. Overview: What Are ...

The PREVENT equations show excellent discrimination in predicting CVD risk, outperforming the Pooled Cohort Equations (PCE) in mortality prediction. Developed using data from over 6.5 million ...

In summary, we developed and validated individual quantitative nomogram-based prediction of survival in multiple myeloma which can in principle be used in clinical routine and methodically be ...

The purpose of this study was to establish a multivariate model using two complementary multivariate statistical techniques: Factor Analysis and Stepwise Multiple Regression, to predict tissue ...

Multi-token prediction instructs the LLM to predict several future tokens from each position in the training corpora at the same time.

Researchers at several institutions collaborated to develop the first computational model that predicts prognosis for patients newly diagnosed with multiple myeloma based on tumor genomics and ...