{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T22:06:50Z","timestamp":1744236410813,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3233\/978-1-61499-868-6-133","type":"book-chapter","created":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T23:19:12Z","timestamp":1740266352000},"source":"Crossref","is-referenced-by-count":1,"title":["Big Data in Brazilian Cancer Surveillance"],"prefix":"10.3233","author":[{"family":"Gon&ccedil;alves Ant&ocirc;nio Augusto","sequence":"additional","affiliation":[]},{"family":"Pereira Barbosa Jos&eacute; Geraldo","sequence":"additional","affiliation":[]},{"family":"Freire de Castro Silva Sandro Lu&iacute;s","sequence":"additional","affiliation":[]},{"family":"Fernandes Martins Carlos Henrique","sequence":"additional","affiliation":[]},{"family":"Cheng Cezar","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","pHealth 2018"],"original-title":[],"deposited":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T23:25:18Z","timestamp":1740266718000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-867-9&spage=133&doi=10.3233\/978-1-61499-868-6-133"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-868-6-133","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]}}}