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
The objective of this work is to explore how to realize the homogenization of emergency clinical decision, and it means that patients receive the same effect of clinical decisions and the treatment in a different hosp...The objective of this work is to explore how to realize the homogenization of emergency clinical decision, and it means that patients receive the same effect of clinical decisions and the treatment in a different hospital. In order to achieve that, emergency doctors should first have the same clinical thinking and thinking mode which is the biggest challenge for homogenization of emergency clinical decision. The task of emergency medicine is to give priority to the treatment of critically ill patients, so step-down thinking of “excluding life-threatening symptoms first” is the basis, the preemptive thinking is the means, and Process thinking is the key of homogenization;The initial diagnosis and treatment mode of symptom-oriented is the starting point for emergency decision;establishing a unified “checklist” can not only broaden the lateral thinking of emergency doctors, but also unify the thinking of differential diagnosis of emergency;dynamic observation should run through the whole diagnosis and treatment process, which is necessary for the homogenization of emergency decision.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The objective of this work is to explore how to realize the homogenization of emergency clinical decision, and it means that patients receive the same effect of clinical decisions and the treatment in a different hospital. In order to achieve that, emergency doctors should first have the same clinical thinking and thinking mode which is the biggest challenge for homogenization of emergency clinical decision. The task of emergency medicine is to give priority to the treatment of critically ill patients, so step-down thinking of “excluding life-threatening symptoms first” is the basis, the preemptive thinking is the means, and Process thinking is the key of homogenization;The initial diagnosis and treatment mode of symptom-oriented is the starting point for emergency decision;establishing a unified “checklist” can not only broaden the lateral thinking of emergency doctors, but also unify the thinking of differential diagnosis of emergency;dynamic observation should run through the whole diagnosis and treatment process, which is necessary for the homogenization of emergency decision.
