Decision-Making Process in Colon Disease and Crohn’s Disease Treatment

1. Agrawal R., Srikant R. (1993), Fast algorithm for mining assocation rules, International Conference on Very Large Databases, 487–499.Search in Google Scholar

2. Aufses A.H. (2000), The History of Surgery for Crohn’s Disease at The Mount Sinai Hospital, Mount Sinai Journal of Medicine, 67, 198–203.Search in Google Scholar

3. Crohn B.B., Ginzburg L., Oppenheimer G.D. (1932), Regional ileitis. A pathologic and clinical entity, Journal of the American Medical Directors Association, 99, 1323–1329.10.1001/jama.1932.02740680019005Search in Google Scholar

4. Dardzinska A. (2013), Action rules mining, Springer-Verlag, Berlin.10.1007/978-3-642-35650-6Search in Google Scholar

5. Dardzinska A., Romaniuk A. (2016), Mining of Frequent Action Rules, In: Ryżko D, Gawrysiak P, Kryszkiewicz M, Rybiński H. (editors), Machine Intelligence and Big Data in Industry, Studies in Big Data, Springer, Cham, 19, 87–95.10.1007/978-3-319-30315-4_8Search in Google Scholar

6. De Kruif P. (1956), Microbe hunters (In Polish: Łowcy mikrobów), Państwowy Zakład Wydawnictw Lekarskich, Warszawa.Search in Google Scholar

7. Gürdal O., Dardzinska A. (2017), A New Approach to Clinical Medicine by Action Rules, International Journal of Development Research, 7(1), 11032–11039.Search in Google Scholar

8. Han J., Kamber M. (2006), Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers, Second Edition, 21–27.Search in Google Scholar

9. Harrell F. (2001), Regression Modeling Strategies with Applications to Linear Models, Logistic Regression, and Survival Analysis, Springer-Verlag, New York.10.1007/978-1-4757-3462-1Search in Google Scholar

10. Hauser W., Hoffmn J., Kuhbacher T., Raible A., Reinshagen M., Rogler G., Schreiber S., Neukamm U., Eceterski A. (2007), Crohn's disease and other inflammatory bowel diseases (In Polish:Choroba Lesniowskiego - Crohna i inne nieswoiste zapalenia jelit), Wydawnictwo Lekarskie PZWL.Search in Google Scholar

11. Hosmer D., Lemeshow S., Sturdivant R. (2013), Applied Logistic Regression, Wiley Series in Probability and Statistics.10.1002/9781118548387Search in Google Scholar

12. Jong de P., Heller G.Z., (2008), Generalized Linear Models for Insurance Data, Cambridge University Press, Cambridge.10.1017/CBO9780511755408Search in Google Scholar

13. Kasperczuk A., Dardzinska A., (2016), Comparative Evaluation of the Different Data Mining Techniques Used for the Medical Database, Acta Mechanica et Automatica, 10(3), 233–238.Search in Google Scholar

14. Kirsner J.B. (1988), Historical aspects of inflammatory bowel disease, Journal of Clinical Gastroenterology, 10, 286–297.10.1097/00004836-198806000-000122980764Search in Google Scholar

15. Lesniowski A. (1903), A contribution to the surgery of the bowels (In Polish:Przyczynek do chirurgii kiszek), Medycyna, 31, 460–518.Search in Google Scholar

16. Lichtarowicz A.M., Mayberry J.F. 1988, Antoni Lesniowski and his contribution to regional enteritis (Crohn’s disease), Journal of the Royal Society of Medicine, 81, 468–470.Search in Google Scholar

17. Liu T., Moore A., Gray A., (2003) Efficient Exact k-NN and Nonparametric Classification in High Dimensions, Advances in Neural Information Processing Systems, 16, 8–13.Search in Google Scholar

18. Olson D., Dursun D. (2008), Advanced Data Mining Techniques, Springer.Search in Google Scholar

19. Pauk J., Dardzinska A. (2012), New method for finding rules in incomplete information systems controlled by reducts in flat feet treatment, Image Proc. and Communications Challenges, Advances in Intelligent and Soft Computing, 184, 209–214.Search in Google Scholar

20. Powers D. (2011), Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness & Correlation, Journal of Machine Learning Technologies, 2(1), 37–63.Search in Google Scholar

21. Ras Z., Dardzinska A. (2011), From Data to Classification Rules and Action, International Journal of Intelligent Systems, Wiley, 26(6), 572–590.10.1002/int.20485Search in Google Scholar