Big Data Applications in Cancer Research: A Case Study at the Brazilian National Cancer Institute

被引：0

作者：

Goncalves, Antonio Augusto ^{[1
,2
]}

Fernandes Martins, Carlos Henrique ^{[1
]}

Pereira Barbosa, Jose Geraldo ^{[2
]}

Freire de Castro Silva, Sandro Luis ^{[1
]}

机构：

[1] Inst Nacl Canc COAE Tecnol Informacao, Rua Resende 195, BR-20230092 Rio De Janeiro, Brazil

[2] Univ Estacio Sa MADE, Ave Presidente Vargas 642, BR-20007100 Rio De Janeiro, Brazil

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY & SYSTEMS (ICITS 2018) | 2018年 / 721卷

关键词：

Big data; Cloud computing; Health informatics; IOT; SYSTEMS;

D O I：

10.1007/978-3-319-73450-7_44

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The development of smart devices, Internet of Things (IOT) and cloud computing is generating an expressive increase in the volume of public health data that can be collected from various sources and analyzed in an unprecedented way. The demand for Big Data analysis is increasing progressively. The development of applications that support the continuing evaluation of early detection programs is among the priorities in Brazil's cancer control. This paper presents the development of a big data application employed on the management, processing and analysis of large-scale Brazilian cancer diseases data, and the benefits for cancer prevention and control derived from its implementation.

引用

页码：467 / 475

页数：9

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