Prediction of naloxone dose in opioids toxicity based on machine learning techniques (artificial intelligence).
Journal:
Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences
PMID:
38771458
Abstract
BACKGROUND: Treatment management for opioid poisoning is critical and, at the same time, requires specialized knowledge and skills. This study was designed to develop and evaluate machine learning algorithms for predicting the maintenance dose and duration of hospital stay in opioid poisoning, in order to facilitate appropriate clinical decision-making.