Breast Imaging in the Era of Big Data: Structured Reporting and Data Mining.
AJR Am J Roentgenol
; 206(2): 259-64, 2016 Feb.
Article
em En
| MEDLINE
| ID: mdl-26587797
ABSTRACT
OBJECTIVE:
The purpose of this article is to describe structured reporting and the development of large databases for use in data mining in breast imaging.CONCLUSION:
The results of millions of breast imaging examinations are reported with structured tools based on the BI-RADS lexicon. Much of these data are stored in accessible media. Robust computing power creates great opportunity for data scientists and breast imagers to collaborate to improve breast cancer detection and optimize screening algorithms. Data mining can create knowledge, but the questions asked and their complexity require extremely powerful and agile databases. New data technologies can facilitate outcomes research and precision medicine.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Mama
/
Bases de Dados Factuais
/
Sistemas de Informação em Radiologia
/
Mineração de Dados
Limite:
Female
/
Humans
Idioma:
En
Ano de publicação:
2016
Tipo de documento:
Article