Probabilistic classifiers and automated cancer registration: An exploratory application

Journal of Biomedical Informatics

Volumn 42, Issue 1, 2009, Pages 1-10

  Tognazzo, Sandro ^a   Emanuela, Bovo ^a   Rita, Fiore Anna ^a   Stefano, Guzzinati ^a   Daniele, Monetti ^a   Fiorella, Stocco Cramen ^a   Paola, Zambon ^b  

^a VENETO INSTITUTE OF ONCOLOGY IOV IRCCS   (Italy)

^b UNIVERSITY OF PADOVA   (Italy)

Author keywords

Automated cancer registration; Cancer Registry; Probabilistic classifiers; Random forest

Indexed keywords

AUTOMATED CANCER REGISTRATION; CANCER REGISTRY; CLASSIFICATION ERRORS; CROSS VALIDATIONS; ERROR RATES; MODEL FITTINGS; MULTILOGIT MODELS; MULTINOMIAL LOGIT MODELS; POTENTIAL DROPS; PREDICTIVE VARIABLES; PROBABILISTIC CLASSIFIERS; RANDOM FOREST;

AUTOMATION; LEARNING SYSTEMS; TUMORS;

CLASSIFIERS;

ARTICLE; AUTOMATION; CANCER CHEMOTHERAPY; CANCER CLASSIFICATION; CANCER INCIDENCE; CANCER RADIOTHERAPY; CANCER REGISTRY; CONTROLLED STUDY; HUMAN; MAJOR CLINICAL STUDY; PREDICTOR VARIABLE; PRIORITY JOURNAL; PROBABILITY; VALIDATION STUDY;

ARTIFICIAL INTELLIGENCE; HUMANS; ITALY; LOGISTIC MODELS; NEOPLASMS; NEOPLASMS, SECOND PRIMARY; PATTERN RECOGNITION, AUTOMATED; PREDICTIVE VALUE OF TESTS; REGISTRIES; REPRODUCIBILITY OF RESULTS;

EID: 60249100029     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2008.06.002     Document Type: Article

References (16)

1. Black RJ, Simonato L, Storm HH, Démaret E. Automated data collection in cancer registration. IARC Technical Reports No. 32. Lyon: IARC; 1998.
2. Simonato L., Zambon P., Rodella S., Giordano R., Guzzinati S., Stocco C., et al. A computerized cancer registration network in the Veneto region, north east of Italy: a pilot study. Br J Cancer 73 (1996) 1436-1439
3. Bovo E, Tognazzo S, Monetti D, Andolfo A, Fiore Ar, Guzzinati S, et al. RTV-Evaluate Evidence. Società Italiana degli Autori ed Editori-Registro Pubblico speciale per i programmi per elaboratore. Registrazione SIAE: 22/01/2003 n 002525, D003356;2003.
4. Hastie T., Tibshirani R., and Friedman J. The elements of statistical learning (2001), Springer, New York
5. Agresti A. Categorical data analysis (1990), John Wiley, New York
6. Breiman L. Random forests. Machine Learning 45 (2001) 5-32
7. World Health Organization 9th Revision Conference, 1975. Manual of the International Statistical Classification of Diseases injuries and Causes of Death. vol. 1. Geneva: WHO; 1977.
8. Parkin DM, Chen VW, Ferlay J, Galceran J, Storm HH, Whelan S. Comparability and quality control in cancer registration (IARC Technical Reports no. 19). Lyon: IARC; 1994.
9. SAS Institute Inc. "SAS/STAT User's Guide-The LOGISTIC Procedure" in: SAS OnlineDoc, Version 9, Cary, NC, SAS Institute Inc. 2003.
10. Wald A. Test of statistical hypotheses concerning several parameters when the number of observation is large. Trans Am. Math Soc 54 (1943) 426-482
11. Breiman L, Cutler A, Liaw A, Wiener M. Breiman and Cutler's random forests for classification and regression version 4.5-10. 2005; Available from http://cran.r-project.org/src/contrib/Descriptions/randomForest.html..
12. West R.R. Accuracy of cancer registration. Brit J Prev Soc Med 30 (1976) 187-192
13. Lapham R., and Waugh N.R. An audit of the quality of cancer registration data. Br J Cancer 66 (1992) 552-554
14. Brewster D.H., Crichton J., and Muir C. How accurate are scottish cancer registration data?. Br J. Cancer 70 (1994) 954-959
15. Tognazzo S., Andolfo A., Bovo E., Fiore A.R., Greco A., Guzzinati S., et al. Quality control of automatically defined cancer cases by the automated registration system of the Venetian Tumour Registry. Eur J Public Health 15 6 (2005) 657-664 Epub 2005 Jul 28
16. Tagliabue G., Maghini A., Fabiano S., Tittarelli A., Frassoldi E., Costa E., et al. Consistency and accuracy of diagnostic cancer codes generated by automated registration: comparison with manual registration. Population Health Metrics 4 (2006) 10 10.1186/1478-7954-4-10