Big Data in Brazilian Cancer Surveillance

被引:1
作者
Goncalves, Antonio Augusto [1 ,2 ]
Pereira Barbosa, Jose Geraldo [2 ]
Freire de Castro Silva, Sandro Luis [1 ]
Fernandes Martins, Carlos Henrique [1 ]
Cheng, Cezar [1 ]
机构
[1] Inst Nacl Canc COAE Tecnol Informacao, Rio De Janeiro, Brazil
[2] Univ Estacio Sa MADE, Ave Presidente Vargas 642, BR-20071001 Rio De Janeiro, Brazil
来源
PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON WEARABLE MICRO AND NANO TECHNOLOGIES FOR PERSONALIZED HEALTH (PHEALTH 2018) | 2018年 / 249卷
关键词
Big Data; Data mining; Cancer Surveillance;
D O I
10.3233/978-1-61499-868-6-133
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Cancer research has a great importance across the world. It is responsible for data analysis of cancer incidence by region, ethnicity, gender, age, social and economic issues, and contributes to the assessment of population health necessities. Nowadays, Brazil has a complex cancer care scenario. There are nearly 600.000 new cancer cases each year. Cancer surveillance in Brazil is carried out by a network of cancer registries which together feed the data warehouse of cancer incidence across the country. The analysis of cancer data warehouses using Data Mining techniques may discover hidden relations among patients' data, cancer treatment, and disease surveillance. This paper presents the development of a Big Data project with the purpose to analyze the cancer incidence and mortality patterns within the different regions and population groups in Brazil.
引用
收藏
页码:133 / 139
页数:7
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