OPIOID-RELATED HARMS AND CARE IMPACTS OF CONVENTIONAL AND AI-BASED PRESCRIPTION MANAGEMENT STRATEGIES: INSIGHTS FROM LEVERAGING AGENT-BASED MODELING AND MACHINE LEARNING

IntroductionLike its counterpart to the south, copyright ranks among the top five countries with the highest rates of opioid prescriptions.With many suffering from opioid use disorder first having encountered opioids via prescription routes, practitioners and health systems have an enduring need to identify and effectively respond to the problemati

Many engineering design optimization problems can be represented as mixed-variable optimization problems.This study presents a heuristic approach for solving mixed-variable optimization using rotation and contraction of vectors.The current optimization algorithm, known telemarkskongen flue as rotate-vector, has shown promising results in solving op

Background: COVID-19 has proven to be challenging to manage for many reasons, including its high infection rate.One of the potential ways to limit its spread is by limiting international travel.The objective of this systematic review was to identify, critically appraise and summarise evidence on international air travel-related control measures for

Current machine learning methods for land subsidence susceptibility mapping (LSSM) predominantly focus on the spatial features of land subsidence conditioning factors (LSCFs), overlooking the sequence relationships that merger after the here superposition of these factors.This often leads to unreliable LSSM results.To address this limitation, this

Collision tumors are rarely reported in patients with von Hippel-Lindau (VHL) disease, even though VHL patients often present with multi-organ tumor syndromes, like hemangioblastoma and renal cell carcinoma (RCC).Hemangioblastoma is rarely located in a supratentorial location, and intracranial lateral ventricular is also not a common site of metast