本文从科学研究基本构成角度,对Web of Science中有关医疗健康大数据的文献进行了全面梳理。首先通过文献计量分析了开展医疗健康大数据研究的国家、学科领域、机构和资助来源;接着通过内容分析总结了这些文献的主要研究对象及其特征,...本文从科学研究基本构成角度,对Web of Science中有关医疗健康大数据的文献进行了全面梳理。首先通过文献计量分析了开展医疗健康大数据研究的国家、学科领域、机构和资助来源;接着通过内容分析总结了这些文献的主要研究对象及其特征,介绍了世界范围内较为著名的开放医学数据资源;最后,从基础研究、应用研究和开发研究三方面剖析了医疗健康大数据研究现状,并归纳了各类研究的主要内容和主题。展开更多
Objective This study focused on the application regularity of medicinal and dietary sub-stances(MDS)of traditional Chinese medicine(TCM)diet therapy during rehabilitation,in order to help patients with Corona Virus Di...Objective This study focused on the application regularity of medicinal and dietary sub-stances(MDS)of traditional Chinese medicine(TCM)diet therapy during rehabilitation,in order to help patients with Corona Virus Disease 2019(COVID-19)reduce sequelae and improve their life quality.Methods The official websites of the national and provincial health committees,the website of the National Administration of Traditional Chinese Medicine,the China BioMedical Literature Database(CBM),China National Knowledge Infrastructure(CNKI),China Science and Technology Journal Database(VIP),and Wanfang Database were used to search the keywords,such as“coronavirus”“novel coronavirus pneumonia”“COVID-19”“protocol”“guideline”“consensus”and“rehabilitation period”.The search time was from the establishment of databases to July 31,2022.The prevention and control protocols of various provinces and cities were manually supplemented and screened out.The information on the frequency,property,flavor,meridian tropism,and efficacy of MDS was collected for association rule analysis through the Apriori algorithm.Hierarchical cluster analysis was performed using the Euclidean distance and longest distance.Results A total of 18 protocols were screened out,including 56 lists of TCM diet therapy,and 47 kinds of MDS with a frequency of 132 times during the rehabilitation of COVID-19.Among them,six lists of diet therapy were collected from national websites,26 from local government websites,and 24 from social and academic institution websites.The intended population can be divided into seven categories including normal recovery,lung-spleen Qi deficiency,deficiency of both Qi and Yin,spleen-stomach weakness,deficiency of Yang Qi,kidney Qi deficiency,and blood deficiency.Shanyao(Dioscoreae Rhizoma)and Lianzi(Nelumbinis Semen),followed by Dazao(Jujubae Fructus)were used most commonly in MDS,with mainly flat property,sweet flavor,and spleen and lung meridians in meridian tropism.Besides,deficiency-tonifying drugs were commonly used in MDS.Through association rule analysis,12 groups of association MDS pairs were obtained.The pair of Yiyiren(Coicis Semen)and Chenpi(Citri Reticulatae Pericarpium)had the highest Lift value,and Yiyiren(Coicis Semen)was used most frequently in the MDS category for eliminating pathogenic factors.The results of complex network analysis showed that the core MDS were Yiyiren(Coicis Semen),Shanyao(Dioscoreae Rhizoma),Huangqi(Astragali Radix),Fuling(Poria),and Dazao(Jujubae Fructus).Three core categories were classified by cluster analysis,including the category of strengthening spleen,nourishing kidney,and grasping Qi,the category of removing phlegm,abating panting,and regulating Qi,and the category of strengthening the middle-energizer and reinforcing Qi.Conclusion Based on the TCM theory,most patients during the rehabilitation of COVID-19 are in a state of lingering pathogens due to deficient vital Qi.TCM diet therapy is based on the principle of“giving both reinforcing and reducing treatment”,and the MDS combinations focus on both reinforcing the health Qi and eliminating pathogenic factors.The diet therapy mainly uses the MDS with flat property and sweet flavor,which belongs to deficiency-tonifying drugs,adding suitable MDS of pathogen-eliminating drugs according to different situations.The ultimate goal is to promote lung inflammation absorption,improve pulmonary fibrosis,increase immunity,reduce the occurrence of sequelae,and improve life quality.展开更多
分析临床决策支持系统(Clinical Decision Support System ,CDSS)中逻辑推理层应用的机器学习算法模型特点、联合使用情况等,对CDSS系统算法的选择、改进和应用具有启示作用。方法:检索PubMed数据库中近十年的CDSS系统相关文献,分析五...分析临床决策支持系统(Clinical Decision Support System ,CDSS)中逻辑推理层应用的机器学习算法模型特点、联合使用情况等,对CDSS系统算法的选择、改进和应用具有启示作用。方法:检索PubMed数据库中近十年的CDSS系统相关文献,分析五类算法的特点和性能;进一步检索癌症领域有关文献,分析算法联合使用情况并构建网络图;最终回归文献比较分析。结果:识别出CDSS中准确度较高的模型、主流算法、常用联合模型、基础算法等。【结论】人工智能是CDSS系统未来的发展方向,对机器学习算法使用情况的分析将为算法选择和模型改进提供参考,促进CDSS临床实践应用。展开更多
文摘本文从科学研究基本构成角度,对Web of Science中有关医疗健康大数据的文献进行了全面梳理。首先通过文献计量分析了开展医疗健康大数据研究的国家、学科领域、机构和资助来源;接着通过内容分析总结了这些文献的主要研究对象及其特征,介绍了世界范围内较为著名的开放医学数据资源;最后,从基础研究、应用研究和开发研究三方面剖析了医疗健康大数据研究现状,并归纳了各类研究的主要内容和主题。
基金Jiangxi Traditional Chinese Medicine Young and Middle-aged Backbone Talent Preject Second Batch(1242001415).
文摘Objective This study focused on the application regularity of medicinal and dietary sub-stances(MDS)of traditional Chinese medicine(TCM)diet therapy during rehabilitation,in order to help patients with Corona Virus Disease 2019(COVID-19)reduce sequelae and improve their life quality.Methods The official websites of the national and provincial health committees,the website of the National Administration of Traditional Chinese Medicine,the China BioMedical Literature Database(CBM),China National Knowledge Infrastructure(CNKI),China Science and Technology Journal Database(VIP),and Wanfang Database were used to search the keywords,such as“coronavirus”“novel coronavirus pneumonia”“COVID-19”“protocol”“guideline”“consensus”and“rehabilitation period”.The search time was from the establishment of databases to July 31,2022.The prevention and control protocols of various provinces and cities were manually supplemented and screened out.The information on the frequency,property,flavor,meridian tropism,and efficacy of MDS was collected for association rule analysis through the Apriori algorithm.Hierarchical cluster analysis was performed using the Euclidean distance and longest distance.Results A total of 18 protocols were screened out,including 56 lists of TCM diet therapy,and 47 kinds of MDS with a frequency of 132 times during the rehabilitation of COVID-19.Among them,six lists of diet therapy were collected from national websites,26 from local government websites,and 24 from social and academic institution websites.The intended population can be divided into seven categories including normal recovery,lung-spleen Qi deficiency,deficiency of both Qi and Yin,spleen-stomach weakness,deficiency of Yang Qi,kidney Qi deficiency,and blood deficiency.Shanyao(Dioscoreae Rhizoma)and Lianzi(Nelumbinis Semen),followed by Dazao(Jujubae Fructus)were used most commonly in MDS,with mainly flat property,sweet flavor,and spleen and lung meridians in meridian tropism.Besides,deficiency-tonifying drugs were commonly used in MDS.Through association rule analysis,12 groups of association MDS pairs were obtained.The pair of Yiyiren(Coicis Semen)and Chenpi(Citri Reticulatae Pericarpium)had the highest Lift value,and Yiyiren(Coicis Semen)was used most frequently in the MDS category for eliminating pathogenic factors.The results of complex network analysis showed that the core MDS were Yiyiren(Coicis Semen),Shanyao(Dioscoreae Rhizoma),Huangqi(Astragali Radix),Fuling(Poria),and Dazao(Jujubae Fructus).Three core categories were classified by cluster analysis,including the category of strengthening spleen,nourishing kidney,and grasping Qi,the category of removing phlegm,abating panting,and regulating Qi,and the category of strengthening the middle-energizer and reinforcing Qi.Conclusion Based on the TCM theory,most patients during the rehabilitation of COVID-19 are in a state of lingering pathogens due to deficient vital Qi.TCM diet therapy is based on the principle of“giving both reinforcing and reducing treatment”,and the MDS combinations focus on both reinforcing the health Qi and eliminating pathogenic factors.The diet therapy mainly uses the MDS with flat property and sweet flavor,which belongs to deficiency-tonifying drugs,adding suitable MDS of pathogen-eliminating drugs according to different situations.The ultimate goal is to promote lung inflammation absorption,improve pulmonary fibrosis,increase immunity,reduce the occurrence of sequelae,and improve life quality.
文摘分析临床决策支持系统(Clinical Decision Support System ,CDSS)中逻辑推理层应用的机器学习算法模型特点、联合使用情况等,对CDSS系统算法的选择、改进和应用具有启示作用。方法:检索PubMed数据库中近十年的CDSS系统相关文献,分析五类算法的特点和性能;进一步检索癌症领域有关文献,分析算法联合使用情况并构建网络图;最终回归文献比较分析。结果:识别出CDSS中准确度较高的模型、主流算法、常用联合模型、基础算法等。【结论】人工智能是CDSS系统未来的发展方向,对机器学习算法使用情况的分析将为算法选择和模型改进提供参考,促进CDSS临床实践应用。
