目的探讨中药复方干预非小细胞肺癌(NSCLC)组方规律。方法检索中国知识资源总库(CNKI)、中国学术期刊数据库(万方数据)、PubMed及Web of Science数据库2003年1月1日-2023年5月1日有关中药复方干预NSCLC的临床文献,运用Python语言和古今...目的探讨中药复方干预非小细胞肺癌(NSCLC)组方规律。方法检索中国知识资源总库(CNKI)、中国学术期刊数据库(万方数据)、PubMed及Web of Science数据库2003年1月1日-2023年5月1日有关中药复方干预NSCLC的临床文献,运用Python语言和古今医案云平台V2.3.7统计药物频次、属性,并进行聚类分析、因子分析及关联规则分析。结果共纳入文献866篇,涉及有效中药复方660首,包含中药647味,频次>40的高频中药有36味,包括黄芪、白术、茯苓等;中药功效类别以补虚药、化痰止咳平喘药为多。聚类分析得到4组聚类,因子分析提取11个公因子,关联规则分析获得37组支持度较高中药组合,其中置信度最高的三联药物组合为黄芪-白术-白花蛇舌草,二联药物组合为黄芪-女贞子。结论中医药治疗NSCLC组方用药多以扶正固本、清热化痰解毒为主,辅以补气活血、祛湿化痰。展开更多
Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve ...Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However;the research on intelligent eye diagnosis still faces many challenges;including the lack of standardized and precisely labeled data;multi-modal information analysis;and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis;and explores the implications for the research of eye diagno-sis intelligence.First;a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next;the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last;the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary;research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.展开更多
文摘目的探讨中药复方干预非小细胞肺癌(NSCLC)组方规律。方法检索中国知识资源总库(CNKI)、中国学术期刊数据库(万方数据)、PubMed及Web of Science数据库2003年1月1日-2023年5月1日有关中药复方干预NSCLC的临床文献,运用Python语言和古今医案云平台V2.3.7统计药物频次、属性,并进行聚类分析、因子分析及关联规则分析。结果共纳入文献866篇,涉及有效中药复方660首,包含中药647味,频次>40的高频中药有36味,包括黄芪、白术、茯苓等;中药功效类别以补虚药、化痰止咳平喘药为多。聚类分析得到4组聚类,因子分析提取11个公因子,关联规则分析获得37组支持度较高中药组合,其中置信度最高的三联药物组合为黄芪-白术-白花蛇舌草,二联药物组合为黄芪-女贞子。结论中医药治疗NSCLC组方用药多以扶正固本、清热化痰解毒为主,辅以补气活血、祛湿化痰。
基金National Natural Science Foundation of China(82274265 and 82274588)Hunan University of Traditional Chinese Medicine Research Unveiled Marshal Programs(2022XJJB003).
文摘Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However;the research on intelligent eye diagnosis still faces many challenges;including the lack of standardized and precisely labeled data;multi-modal information analysis;and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis;and explores the implications for the research of eye diagno-sis intelligence.First;a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next;the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last;the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary;research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.
