基于机器学习的医疗器械分类与预测方法研究OA
针对当前医疗器械分类仍然采用人工分类方式,费时费力的问题,提出一种基于机器学习的医疗器械分类与预测方法,通过引入机器学习和自然语言处理领域的经典算法,以新版《医疗器械分类目录》为标准,提取医疗器械产品注册证的关键信息作为语料库,实现对医疗器械的产品类别划分,达到真正意义上的医疗器械自动分类,为各级医疗机构的医疗器械分类管理信息化奠定基础,提供借鉴和启示.
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.
黄佳;刘翔宇
重庆大学附属肿瘤医院,重庆 400030
预防医学
医疗器械机器学习自动分类分类管理信息化
medical devicemachine learningautomatic classificationclassified managementinformatization
《科技创新与应用》 2024 (005)
28-31 / 4
重庆市技术创新与应用发展专项面上项目(cstc2020jscx-sbqwX0016);重庆市沙坪坝区决策咨询与管理创新项目(Jcd202296)
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