Objective： To review theories and technologies of big data mining and their application in clinical medicine. Data Sources： Literatures published in English or Chinese regarding theories and technologies of big data...Objective： To review theories and technologies of big data mining and their application in clinical medicine. Data Sources： Literatures published in English or Chinese regarding theories and technologies of big data mining and the concrete applications of data mining technology in clinical medicine were obtained from PubMed and Chinese Hospital Knowledge Database from 1975 to 2015. Study Selection： Original articles regarding big data mining theory/technology and big data mining＇s application in the medical field were selected. Results： This review characterized the basic theories and technologies of big data mining including fuzzy theory, rough set theory, cloud theory, Dempster-Shafer theory, artificial neural network, genetic algorithm, inductive learning theory, Bayesian network, decision tree, pattern recognition, high-performance computing, and statistical analysis. The application of big data mining in clinical medicine was analyzed in the fields of disease risk assessment, clinical decision support, prediction of disease development, guidance of rational use of drugs, medical management, and evidence-based medicine. Conclusion： Big data mining has the potential to play an important role in clinical medicine.展开更多
Splenic artery aneurysm, without obvious symptoms, is a direct threat to the patient＇s life, once it ruptures as hemorrhagic shock.Imaging examinations have been the main diagnostic methods of splenic artery aneurysm...Splenic artery aneurysm, without obvious symptoms, is a direct threat to the patient＇s life, once it ruptures as hemorrhagic shock.Imaging examinations have been the main diagnostic methods of splenic artery aneurysm, including ultrasound, computed tomography （CT）, magnetic resonance imaging, and digital subtraction angiography （DSA）.Although various inspective methods have their own advantages and disadvantages, abdominal CT examination is the most comprehensively applied method in clinical settings.The representative images of splenic artery aneurysm from a relatively large number of patients examined by CT are presented in this study.展开更多
文摘Objective： To review theories and technologies of big data mining and their application in clinical medicine. Data Sources： Literatures published in English or Chinese regarding theories and technologies of big data mining and the concrete applications of data mining technology in clinical medicine were obtained from PubMed and Chinese Hospital Knowledge Database from 1975 to 2015. Study Selection： Original articles regarding big data mining theory/technology and big data mining＇s application in the medical field were selected. Results： This review characterized the basic theories and technologies of big data mining including fuzzy theory, rough set theory, cloud theory, Dempster-Shafer theory, artificial neural network, genetic algorithm, inductive learning theory, Bayesian network, decision tree, pattern recognition, high-performance computing, and statistical analysis. The application of big data mining in clinical medicine was analyzed in the fields of disease risk assessment, clinical decision support, prediction of disease development, guidance of rational use of drugs, medical management, and evidence-based medicine. Conclusion： Big data mining has the potential to play an important role in clinical medicine.
文摘Splenic artery aneurysm, without obvious symptoms, is a direct threat to the patient＇s life, once it ruptures as hemorrhagic shock.Imaging examinations have been the main diagnostic methods of splenic artery aneurysm, including ultrasound, computed tomography （CT）, magnetic resonance imaging, and digital subtraction angiography （DSA）.Although various inspective methods have their own advantages and disadvantages, abdominal CT examination is the most comprehensively applied method in clinical settings.The representative images of splenic artery aneurysm from a relatively large number of patients examined by CT are presented in this study.
