Opioid Nonadherence Risk Prediction of Patients with Cancer-Related Pain Based on Five Machine Learning Algorithms.

Jinmei LiuJuan LuoXu ChenJiyi XieCong WangHanxiang WangQi YuanShijun LiYu Zhang Jian-Li Hu Chen Shi

Published in: Pain research & management (2024)

. ML algorithms can be used as an effective means of predicting adherence to opioids in patients with cancer pain, which allows for proactive clinical intervention to optimize cancer pain management. This trial is registered with ChiCTR2000033576.

Keyphrases

pain management
machine learning
chronic pain
artificial intelligence
deep learning
randomized controlled trial
papillary thyroid
clinical trial
study protocol
squamous cell
phase iii
type diabetes
squamous cell carcinoma
spinal cord injury
metabolic syndrome
adipose tissue
weight loss
double blind