科技创新与应用2024，Vol.14Issue(5)：28-31,4.DOI:10.19981/j.CN23-1581/G3.2024.05.007
基于机器学习的医疗器械分类与预测方法研究
摘要
Abstract
The current manual classification method for medical devices is still time-consuming and labor-intensive.In order to address this issue,a medical device classification and prediction method based on machine learning is proposed.By introducing classic algorithms in the fields of machine learning and natural language processing,and using the new version of the"Medical Device Classification Catalog"as the standard,the key information from the medical device product registration certificate is extract as the corpus to classify medical devices into product categories,so the true automatic classification of medical devices is achieved,which lays the foundation and provides reference and inspiration for the informatization of medical device classification management in medical institutions at all levels.关键词
医疗器械/机器学习/自动分类/分类管理/信息化Key words
medical device/machine learning/automatic classification/classified management/informatization分类
医药卫生引用本文复制引用
黄佳,刘翔宇..基于机器学习的医疗器械分类与预测方法研究[J].科技创新与应用,2024,14(5):28-31,4.基金项目
重庆市技术创新与应用发展专项面上项目(cstc2020jscx-sbqwX0016) （cstc2020jscx-sbqwX0016）
重庆市沙坪坝区决策咨询与管理创新项目(Jcd202296) （Jcd202296）
