Python codes for ML-Pain-MEDD

An exploratory analysis of multiple machine learning models for predicting end-of-treatment acute pain intensity and opioid doses (represented as the total morphine equivalent daily dose (MEDD)) and analgesic efficacy in a large scare retrospective cohort of oral cavity and oropharyngeal cancer patients received radiation therapy (RT).本研究针对接受放射治疗（RT）的大规模口腔及口咽癌患者回顾性队列，开展针对多种机器学习模型的探索性分析，以预测治疗结束时的急性疼痛强度、阿片类药物剂量（以总吗啡等效日剂量（total morphine equivalent daily dose, MEDD）计）及镇痛疗效。