Prediction of naloxone dose in opioids toxicity based on machine learning techniques (artificial intelligence).

Seyed Ali MohtaramiBabak MostafazadehShahin ShadniaMitra RahimiPeyman Erfan Talab EviniMaral RamezaniHamed BorhanyMobin FathyHamidreza Eskandari

Published in: Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences (2024)

A predictive model can significantly enhance the decision-making and clinical care provided by emergency physicians in hospitals and medical settings. XGBoost was found to be the superior model.

Keyphrases

artificial intelligence
machine learning
healthcare
big data
decision making
deep learning
primary care
pain management
palliative care
emergency department
public health
chronic pain
oxidative stress
health insurance