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Data mining in clinical big data:the frequently used databases,steps,and methodological models 被引量:19
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作者 Wen-Tao Wu Yuan-Jie Li +4 位作者 Ao-Zi Feng Li Li Tao Huang An-Ding Xu Jun Lv 《Military Medical Research》 SCIE CSCD 2021年第4期552-563,共12页
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
关键词 Clinical big data Data mining Machine learning medical public database Surveillance Epidemiology and End Results National Health and Nutrition Examination Survey The Cancer Genome Atlas medical Information Mart for Intensive Care
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Virtual academy of women's health
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作者 Thomas Rabe Yanglu Li Xiangyan Ruan 《Global Health Journal》 2022年第4期212-216,共5页
In this paper,we explored to develop a new concept of computer-and internet-based learning and training method in medicine,especially in obstetrics and gynecology,which is named as Virtual Academy of Women'Health(... In this paper,we explored to develop a new concept of computer-and internet-based learning and training method in medicine,especially in obstetrics and gynecology,which is named as Virtual Academy of Women'Health(VA).Especially in the times of infectious disease pandemics worldwide,learning at home rather than in big lectures hall,might be necessary and practical as never before.The VA is based on worldwide knowledge in medicine—free accessible on the internet-in terms of homepages,video and audio platforms,scientific papers,medical books,and different guidelines.A collection of different video-clips in various fields of women's health can assist the student or doctor in understanding the symptoms,diagnostics,and treatment of various diseases.There are two major targets of it-one is online education,and one is testing the knowledge by simulation of clinical cases. 展开更多
关键词 Virtual academy Women's health INTERNET-BASED Free accessible medical database
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