First released in 2006, DrugBank (https://go. drugbank. com) has grown to become the 'gold
standard'knowledge resource for drug, drug–target and related pharmaceutical information …

Purpose Adoption of Clinical Decision Support Systems (CDSS) is a crucial step towards the
digital transition of the healthcare sector. This review aims to determine and synthesise the …

Objectives Emergency department overcrowding could be improved by upstream telephone
triage. Emergency telephone triage aims at managing and orientating adequately patients …

Using the complementary strengths of Bayesian networks, decision trees, artificial neural
networks (ANNs), and Markov models, this endeavor intends to completely revamp clinical …

The digital revolution in healthcare, amplified by the COVID-19 pandemic and artificial
intelligence (AI) advances, has led to a surge in the development of digital technologies …

Background Medication errors and associated adverse drug events (ADE) are a major
cause of morbidity and mortality worldwide. In recent years, the prevention of medication …

Background Successful deployment of clinical prediction models for clinical deterioration
relates not only to predictive performance but to integration into the decision making …

Background: Approximately one-third of adults over the age of 65 experience falls annually,
with half resulting in injury. Peak bodies have recommended the use of fall-risk screening …

This study aimed to conduct a sco** review and evidence and gap maps to characterize
Clinical Decision Support Systems (CDSS) in primary care, evaluate their implementation …

Objective To describe development and application of a checklist of criteria for selecting an
automated machine learning (Auto ML) platform for use in creating clinical ML models …