Background Understanding drivers of high healthcare utilisation costs among individuals experiencing first-episode psychosis ...

Objectives To assess indirect costs (IDC) due to lost productivity in paid/unpaid labour, stratified by sex, in a national ...

Abstract: This paper presents a pulse-arrival-time (PAT) estimation scheme using Extreme Gradient Boosting (XGBoost) regression and its implementation with hardware description language (HDL). PAT is ...

Background Preterm birth is associated with lifelong respiratory sequelae, yet our understanding of lung function ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

An error has occurred. Please try again. With a The Portland Press Herald subscription, you can gift 5 articles each month. It looks like you do not have any active ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

Reconstructing the diverse conformations of biomolecules from cryoelectron microscopy datasets remains a longstanding challenge. Here, we present a method that surpasses current approaches across ...

This is the official code implementation for the paper "MCSDR: Generative Regression for Left Ventricular Ejection Fraction Estimation from Echocardiography Video" (Currently Under Peer Review). MCSDR ...

Commonly used linear regression focuses only on the effect on the mean value of the dependent variable and may not be useful in situations where relationships across the distribution are of interest.

The president recently used the word to describe Minnesota Gov. Tim Walz. President Donald Trump smiles after walking on stage to address the attendees of the American Business Forum at the Kaseya ...