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作 者:陆昕玥 黄坚 陈凌栋 朱珠 杨荣旺[4] 李鑫鑫 赵永根[1,2,3] 俞刚 LU Xinyue;HUANG Jian;CHEN Lingdong;ZHU Zhu;YANG Rongwang;LI Xinxin;ZHAO Yonggen;YU Gang(Department of Data and Information,Children’s Hospital,Zhejiang University School of Medicine,Hangzhou 310052,China;Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province,Hangzhou 310052,China;Pediatric Medicine Engineering and Information Research Center,National Clinical Research Center for Child Health,Hangzhou 310052,China;Department of Psychology,Children’s Hospital,Zhejiang University School of Medicine,Hangzhou 310052,China)
机构地区:[1]浙江大学医学院附属儿童医院数据信息部,杭州310052 [2]浙江-芬兰儿童健康人工智能联合实验室,杭州310052 [3]国家儿童健康与疾病临床医学研究中心儿童健康医工信交叉研究中心,杭州310052 [4]浙江大学医学院附属儿童医院心理科,杭州310052
出 处:《医学信息学杂志》2024年第9期75-81,共7页Journal of Medical Informatics
基 金:国家重点研发计划项目(项目编号:2023YFC2706400)。
摘 要:目的/意义建立儿童注意缺陷多动障碍(attention deficit hyperactivity disorder,ADHD)专病库,解决诊疗数据分散、数据质量偏低造成的数据使用效率低的问题。方法/过程基于2020年3月—2024年4月儿童ADHD临床诊疗数据,利用自然语言处理技术实现数据后结构化,根据行业标准、诊治指南实现专病库数据标准化。结果/结论建立以75835例ADHD患儿和28万人次就诊数据为基础的儿童ADHD专病库,为ADHD人群基本特征分析、预测模型构建、优化资源配置、临床诊疗路径优化等应用方向提供数据支撑。Purpose/Significance The establishment of a specialized database for children with attention deficit hyperactivity disorder(ADHD)aims to address the issues of low data usage efficiency caused by scattered and low-quality diagnostic data.Method/Process Based on clinical diagnostic data of children with ADHD from March 2020 to April 2024,natural language processing(NLP)techniques are utilized to realize the post-structuring of the data.Furthermore,standardization of the database is performed according to industry standards and treatment guidelines.Result/Conclusion The specialized database for children with ADHD is established,comprising data from 75835 ADHD children and 280000 clinical visits.This database supports various applications such as the analysis of basic characteristics of the ADHD population,prediction model construction,resource allocation optimization,and clinical pathway optimization.
关 键 词:专病库 儿童注意缺陷多动障碍 数据治理
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