Many high quality studies have emerged from public databases,such as Surveillance,Epidemiology,and End Results(SEER),National Health and Nutrition Examination Survey(NHANES),The Cancer Genome Atlas(TCGA),and Medical I...Many high quality studies have emerged from public databases,such as Surveillance,Epidemiology,and End Results(SEER),National Health and Nutrition Examination Survey(NHANES),The Cancer Genome Atlas(TCGA),and Medical Information Mart for Intensive Care(MIMIC);however,these data are often characterized by a high degree of dimensional heterogeneity,timeliness,scarcity,irregularity,and other characteristics,resulting in the value of these data not being fully utilized.Data-mining technology has been a frontier field in medical research,as it demonstrates excellent performance in evaluating patient risks and assisting clinical decision-making in building disease-prediction models.Therefore,data mining has unique advantages in clinical big-data research,especially in large-scale medical public databases.This article introduced the main medical public database and described the steps,tasks,and models of data mining in simple language.Additionally,we described data-mining methods along with their practical applications.The goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application of data-mining technology on clinical big-data in order to promote the production of research results that are beneficial to doctors and patients.展开更多
Evolving From principal-subordinate structure of C /S to flexible multileveled distributed structure, i.e. B/S architecture so as to form a wide, distributed and orderly Internet/Intranet integrated management inf orm...Evolving From principal-subordinate structure of C /S to flexible multileveled distributed structure, i.e. B/S architecture so as to form a wide, distributed and orderly Internet/Intranet integrated management inf ormation system, is the trend of development of application software of the whol e world. Advantages and disadvantages of the two modes: C/S and B/S are compared . It is pointed out that at present onefold B/S mode cannot yet fully fullfil th e demands of some complicated data processing, information statistics and analys is, etc, therefore it still awaits further development of technology to achieve 100% Internet. In this paper, a mode of B/S-C/S-blended multileveled architect ure is discussed; the logical levels of B/S mode is studied; Furthermore, combin ing some up-to-date software developing technology, combinatorial design of di fferent database application technology based on B/S is discussed. The expatiati on is made with following points: (1) Organic combination of the network distrib uted object technology of CORBA and the computation technology among different n etwork operating system ─ Java; (2) Organic combination of two modes of ASP and Plug_in; (3) JDBC Server and JDBC Client; (4) An expanded B/S model, i.e. the c lient application of browser communicates directly with Web server, and the serv er application communicates directly with database server through middle ware.展开更多
基金the National Social Science Foundation of China(No.16BGL183).
文摘Many high quality studies have emerged from public databases,such as Surveillance,Epidemiology,and End Results(SEER),National Health and Nutrition Examination Survey(NHANES),The Cancer Genome Atlas(TCGA),and Medical Information Mart for Intensive Care(MIMIC);however,these data are often characterized by a high degree of dimensional heterogeneity,timeliness,scarcity,irregularity,and other characteristics,resulting in the value of these data not being fully utilized.Data-mining technology has been a frontier field in medical research,as it demonstrates excellent performance in evaluating patient risks and assisting clinical decision-making in building disease-prediction models.Therefore,data mining has unique advantages in clinical big-data research,especially in large-scale medical public databases.This article introduced the main medical public database and described the steps,tasks,and models of data mining in simple language.Additionally,we described data-mining methods along with their practical applications.The goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application of data-mining technology on clinical big-data in order to promote the production of research results that are beneficial to doctors and patients.
文摘Evolving From principal-subordinate structure of C /S to flexible multileveled distributed structure, i.e. B/S architecture so as to form a wide, distributed and orderly Internet/Intranet integrated management inf ormation system, is the trend of development of application software of the whol e world. Advantages and disadvantages of the two modes: C/S and B/S are compared . It is pointed out that at present onefold B/S mode cannot yet fully fullfil th e demands of some complicated data processing, information statistics and analys is, etc, therefore it still awaits further development of technology to achieve 100% Internet. In this paper, a mode of B/S-C/S-blended multileveled architect ure is discussed; the logical levels of B/S mode is studied; Furthermore, combin ing some up-to-date software developing technology, combinatorial design of di fferent database application technology based on B/S is discussed. The expatiati on is made with following points: (1) Organic combination of the network distrib uted object technology of CORBA and the computation technology among different n etwork operating system ─ Java; (2) Organic combination of two modes of ASP and Plug_in; (3) JDBC Server and JDBC Client; (4) An expanded B/S model, i.e. the c lient application of browser communicates directly with Web server, and the serv er application communicates directly with database server through middle ware.
