Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...

Department of Emergency, The First Hospital of Jilin University, Changchun, Jilin, China Background: Pulmonary embolism (PE) is a serious condition that is frequently encountered in clinical practice.

Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as software written for a traditional supercomputer. A quantum computer at ...

Abstract: With the widespread adoption of delivery services and advancements in autonomous driving technology, route optimization problems have attracted significant attention. In particular, the ...

Australian Institute for Machine Learning (AIML), School of Computer and Mathematical Sciences, University of Adelaide, Adelaide, South Australia 5005, Australia Institute for Photonics and Advanced ...

This repository contains the final project of my Data Science course. The project involved developing a machine learning model that predicts the cost of public sector projects in the UK. The focus is ...

Abstract: Iterative learning control (ILC) has demonstrated effectiveness in urban traffic signal control systems. However, conventional ILC methods typically require infinite iterations to achieve ...

I recently found myself privy to a debate between two friends about the “safety of the woods.” I listened with interest as one noted that there are far more potential hazards inside the home than in ...

Cardano (ADA) is still in negative territory, unable to rebound as the broader crypto market struggles to recover from a dramatic crash this week that led to approximately $110 billion being erased ...

Background: Heart failure (HF), with its distinct phenotypes, poses significant public health challenges. Early diagnosis of specific HF phenotypes is crucial for timely therapeutic intervention.