Application and Exploration of Big Data Mining in Clinical Medicine / 中华医学杂志(英文版)
Chinese Medical Journal
;
(24): 731-738, 2016.
Artigo
em Inglês
| WPRIM
| ID: wpr-328167
ABSTRACT
<p><b>OBJECTIVE</b>To review theories and technologies of big data mining and their application in clinical medicine.</p><p><b>DATA SOURCES</b>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.</p><p><b>STUDY SELECTION</b>Original articles regarding big data mining theory/technology and big data mining's application in the medical field were selected.</p><p><b>RESULTS</b>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.</p><p><b>CONCLUSION</b>Big data mining has the potential to play an important role in clinical medicine.</p>
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Reconhecimento Automatizado de Padrão
/
Árvores de Decisões
/
Medicina Clínica
/
Teorema de Bayes
/
Redes Neurais de Computação
/
Lógica Fuzzy
/
Medicina Baseada em Evidências
/
Sistemas de Apoio a Decisões Clínicas
/
Mineração de Dados
Tipo de estudo:
Guia de Prática Clínica
/
Estudo prognóstico
Limite:
Humanos
Idioma:
Inglês
Revista:
Chinese Medical Journal
Ano de publicação:
2016
Tipo de documento:
Artigo
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