Disease progression modeling from historical clinical databases

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2005, Pages 788-793

  Pearson, Ronald K ^a   Kingan, Robert J ^b   Hochberg, Alan ^a  

^a ProSanos Corporation   (United States)

^b Kingan Associates   (United States)

Author keywords

Censoring; Cluster analysis; Disease progression modeling; Logistic model; NIDDK liver transplant database

Indexed keywords

DISEASES; PATIENT MONITORING; TRANSPLANTATION (SURGICAL);

CLINICAL DATABASES; CLUSTER ANALYSIS; DISEASE PROGRESSION MODELING; LOGISTIC MODEL;

DATABASE SYSTEMS;

EID: 32344441349     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1081870.1081974     Document Type: Conference Paper

References (9)

1. A. Banerjee and J. Ghosh, On scaling up balanced clustering algorithms. In Proc. 2002 SIAM Int. Conf. Data Mining, pages 333-349. SIAM, April 2002.
2. A. Ben-Israel and T. Greville. Generalized Inverses: Theory and Applications. Robert E. Krieger Publishing Co., New York, 1974.
3. A. T. Blei. Liver and biliary tract. In Laboratory Medicine, chapter 19, pages 363-382. Williams and Williams, Baltimore, 1994.
4. A. Gordon. Classification. Chapman and Hall/CRC, New York, 2nd edition, 1999.
5. G. Hardy, J. Littlewood, and G. Polya. Inequalities. Cambridge University Press, 2nd edition, 1952.
6. Insightful-Corp. S-PLUS 6 Guide to Statistics Vol. 2. Insightful Corp., Seattle, WA, 2001.
7. L. Kaufman and P. J. Rousseeuw. Finding Groups in Data. Wiley, New York, 1990.
8. R. K. Pearson, T. Zylkin, J. S. Schwaber, and G. E. Gonye. Quantitative evaluation of clustering results using computational negative controls. In Proc. 2004 SIAM Int. Conf. Data Mining, pages 188-199. SIAM, April 2004.
9. Y. Wei, K. Detre, and J. Everhart. The NIDDK liver transplantation database. Liver Transplant Surgery, 3:10-22, 1997.