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Volumn , Issue , 2011, Pages 233-

Poster: A lung cancer mortality risk calculator based on SEER data

Author keywords

Data mining; Lung cancer; Mortality; Risk calculator

Indexed keywords

DATA MINING TECHNIQUES; LUNG CANCER; LUNG CANCER MORTALITY; MORTALITY; MORTALITY RISK; SEER PROGRAM; SURVIVAL PREDICTION;

EID: 79953819030     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCABS.2011.5729887     Document Type: Conference Paper
Times cited : (6)

References (5)
  • 1
    • 67649176332 scopus 로고    scopus 로고
    • National Cancer Institute, SEER Program, ch. 9
    • L. A. G. Ries and M. P. Eisner, Cancer of the lung. National Cancer Institute, SEER Program, 2007, ch. 9.
    • (2007) Cancer of the Lung
    • Ries, L.A.G.1    Eisner, M.P.2
  • 2
    • 79953826422 scopus 로고    scopus 로고
    • National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch, released April 2009, based on the November 2008 submission
    • "Surveillance, epidemiology, and end results (SEER) program (www.seer.cancer.gov) limited-use data (1973-2006)," National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch, 2008, released April 2009, based on the November 2008 submission.
    • (2008) Surveillance, Epidemiology, and End Results (SEER) Program (Www.seer.cancer.gov) Limited-use Data (1973-2006)
  • 4
    • 79953820658 scopus 로고    scopus 로고
    • Machine learning methods in the analysis of lung cancer survival data
    • February
    • D Fradkin, "Machine learning methods in the analysis of lung cancer survival data," DIMACS Technical Report 2005-35 February 2006.
    • (2006) DIMACS Technical Report 2005-35
    • Fradkin, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.