Background In emergency services is important to accurately assess and classify symptoms,
which may be improved with the help of technology. One mechanism that could help and …

Objective This systematic literature review aims to demonstrate how Artificial Intelligence (AI)
is currently used in emergency departments (ED) and how it alters the work design of ED …

Background: Risk scores can be useful in clinical risk stratification and accurate allocations
of medical resources, helping health providers improve patient care. Point-based scores are …

Introduction Patients with sepsis who present to an emergency department (ED) have highly
variable underlying disease severity, and can be categorized from low to high risk …

Effective and rapid triaging from primary care into secondary care plays a pivotal role in
providing patients with timely treatment and managing increasing demands for healthcare …

Objectives This systematic review aimed to assess the performance and clinical feasibility of
machine learning (ML) algorithms in prediction of in-hospital mortality for medical patients …

Medium optimization is a crucial step during cell culture for biopharmaceutics and
regenerative medicine; however, this step remains challenging, as both media and cells are …

Predicting customer repurchase propensity/frequency has received broad research interests
from marketing, operations research, statistics, and computer science. In the field of …

Background: Diphenhydramine (DPH) is an antihistamine medication that in overdose can
result in anticholinergic symptoms and serious complications, including arrhythmia and …

While there have been a very large number of academic studies of proposed machine
learning-based health predictive models, it is widely recognized that machine learning …