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Selected Morphotic Parameters Differentiating Ulcerative Colitis from Crohn’s Disease Cover

Selected Morphotic Parameters Differentiating Ulcerative Colitis from Crohn’s Disease

By: Anna Kasperczuk  
Open Access
|Nov 2021

References

  1. 1. Bebas E., Borowska M., Derlatka M., Oczeretko E., Hladunski M., Szumowski P., Mojsak M. (2021) Machine-learning-based classification of the histological subtype o non-small-cell lung cancer using MRI texture analysis. Biomedical Signal Processing and Control, vol. 66, 1-6.10.1016/j.bspc.2021.102446
  2. 2. Cappello, M.; Morreale, G.C. (2016) The Role of Laboratory Tests in Crohn’s Disease. Clin Med Insights Gastroenterol, 9, 51–62.10.4137/CGast.S38203499157627656094
  3. 3. Crohn B.B., Ginzburg L., Oppenheimer G.D. (1932) Regional ileitis. A pathologic and clinical entity, J Am Med Ass. 99:1323-1329.10.1001/jama.1932.02740680019005
  4. 4. Daniluk J, Daniluk U, Reszec J, Rusak M, Dabrowska M, Dabrowski A.(2017) Protective effect of cigarette smoke on the course of dextran sulfate sodium-induced colitis is accompanied by lymphocyte subpopulation changes in the blood and colon. Int J Colorectal Dis, 32, 1551-1559.10.1007/s00384-017-2882-9563508328812128
  5. 5. Dardzinska A. (2013), Action Rules Mining. Springer, pp. 90.10.1007/978-3-642-35650-6
  6. 6. Dardzinska A., Kasperczuk A. (2018), Decision-making Process in Colon Disease and Crohn’s Disease Treatment, Acta Mechanica et Automatica, Vol. 12 no. 3, pp. 227-231.10.2478/ama-2018-0035
  7. 7. Dardzinska A., Romaniuk A. (2016), Mining of Frequent Action Rules, Machine Intelligence and Big Data in Industry: 6th International Conference on Pattern Recognition and Machine Intelligence, 87-95.10.1007/978-3-319-30315-4_8
  8. 8. Dolapcioglu, C.; Soylu, A.; Kendir, T.; Ince, A.T.; Dolapcioglu, H.; Purisa, S.(2014) Coagulation parameters in inflammatory bowel disease. Int J Clin Exp Med, 7, 1442–1448.
  9. 9. Giuffrida, P.; Corazza, G.R.; Di Sabatino, A. (2018) Old and New Lymphocyte Players in Inflammatory Bowel Disease. Dig Dis Sci, 63, 277-288.10.1007/s10620-017-4892-429275447
  10. 10. Gren, S.T.; Grip, O. (2016) Role of Monocytes and Intestinal Macrophages in Crohn’s Disease and Ulcerative Colitis. Inflamm Bowel Dis, 22, 1992-8.10.1097/MIB.000000000000082427243595
  11. 11. Gürdal O., Dardzinska A. (2017), A New Approach to Clinical Medicine by Action Rules, International Journal of Development Research, 7(1), 11032–11039.
  12. 12. Han J., Kamber M. (2006), Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers, Second Edition, 21-27.
  13. 13. Kasperczuk A, Daniluk J, Dardzinska A. (2019) Smart Model to Distinguish Crohn’s Disease from Ulcerative Colitis. Appl. Sci, 9, 1650.10.3390/app9081650
  14. 14. Kasperczuk A. and Dardzinska A., (2016), Comparative Evaluation of the Different Data Mining Techniques Used for the Medical Database, Acta Mechanica et Automatica, Vol. 10 no. 3, pp. 233-238.10.1515/ama-2016-0036
  15. 15. Kirsner J. B. (1988), Historical aspects of inflammatory bowel disease, J Clin Gastroenterol, 10:286-297.10.1097/00004836-198806000-000122980764
  16. 16. Merigo, F.; Brandolese, A.; Facchin, S.; Missaggia, S.; Bernardi, P.; Boschi, F.; et al. (2018) Glucose transporter expression in the human colon. World J Gastroenterol, 24,775-793.10.3748/wjg.v24.i7.775580793729467549
  17. 17. Priyamvada, S.; Gomes, R.; Gill, R.K.; Seksena, S.; Alrefai, W.A.; Dudeja, P.K. (2015) Mechanisms Underlying Dysregulation of Electrolyte Absorption in IBD Associated Diarrhea. Inflamm Bowel Dis, 21, 2926–2935.10.1097/MIB.0000000000000504466204626595422
  18. 18. 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.20485
  19. 19. Sarfati, M.; Wakahara, K.; Chapuy, L.; Delespesse, G. (2015) Mutual Interaction of Basophils and T Cells in Chronic Inflammatory Diseases. Front Immunol, 6, 399.10.3389/fimmu.2015.00399452286826284078
  20. 20. Schieffer, K.M.; Bruffy, S.M.; Rauscher, R.; Koltun, W.A.; Yochum, G.S.; Gallagher, C.G. (2017) Reduced total serum bilirubin levels are associated with ulcerative colitis. PLoS One, 12, e0179267.10.1371/journal.pone.0179267546464528594959
  21. 21. Yazici, A.; Senturk, O.; Aygun, C.; Celebi, A.; Caglayan, C.; Hulagu, S. (2010) Thrombophilic Risk Factors in Patients with Inflammatory Bowel Disease. Gastroenterology Res., 3, 112–119.10.4021/gr2010.06.209w
  22. 22. Zho, G.X.; Liu, Z.J. (2017) Potential roles of neutrophils in regulating intestinal mucosal inflammation of inflammatory bowel disease. J Dig Dis, 495-503.10.1111/1751-2980.1254028857501
DOI: https://doi.org/10.2478/ama-2021-0031 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
Language: English
Page range: 249 - 253
Submitted on: May 22, 2020
Accepted on: Sep 24, 2021
Published on: Nov 29, 2021
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Anna Kasperczuk, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.