Informatics and Applications
December 2013, Volume 7, Issue 4, pp 82-93
THE INFORMATION-ANALYTICAL COMPUTER SYSTEM MEGALITH IN OPTIMIZATION OF THE DIAGNOSIS
AND TREATMENT OF UROLITHIASIS
- M. P. Krivenko
- S.A. Golovanov
- P. A. Savchenko
- A. V. Sivkov
- A. P. Suchkov
Abstract
In this article, that is the first of an expected series of scientific publications, the results of research
on automation of the information and analytical processes of the urolithic disease (ULD) survey, diagnosis, and
treatment are discussed. A significant role in creating the systems of ULD diagnostics has the development
of information technologies for clinical data collection and formation of specialized databases. The possibility
of creation and the ways of realization of information-analytical computer system of collection, storage, and
processing of the clinical data of patients examination, as well as programming decision-making processes in the
diagnosis ULD and the choice of schemes of treatment and prevention of this disease has been studied. The
developed mathematical methods and algorithms may be applied to the further fundamental scientific researches
in the field of development of mathematical methods of medical and biological systems modeling; besides, they
may be applied for necessary mathematical tools creation.
[+] References (19)
- Ramello, A., C. Vitale, and D. Marangella. 2000. Epidemiology
of nephrolithiasis. J.Nephrol. 13(Suppl. 3):45–
50.
- Trinchieri, A., F. Coppi, E. Montanari, A. Del Nero,
G. Zanetti, and E. Pisani. 2000. Increase in the prevalence
of symptomatic upper urinary tract stones during
the last ten years. Eur. Urol. 37:23–25.
- Pearle, M. S., E.A. Calhoun, and G.C. Curhan. 2005.
Urologic diseases inAmerica project:Urolithiasis. J.Urology
173:848–57.
- Lieske, J.C., L. S. Pena de la Vega, J.M. Slezak,
E. J. Bergstralh; C.L. Leibson, K. L. Ho, and
M.T. Gettman. 2006. Renal stone epidemiology in
Rochester,Minnesota: An update. Kidney Int. 69(4):760–
68.
- Johnson, C.M., D.M. Wilson, W.M. O’Fallon,
R. S. Malek, and L.T. Kurland. 1979. Renal stone epidemiology:
A 25-year study in Rochester, Minnesota.
Kidney Int. 16(5):624–31.
- Yasui, T, M. Iguchi, S. Suzuki, and K. Kohri. 2008. Prevalence
and epidemiological characteristics of urolithiasis in
Japan: National trends between 1965 and 2005. Urology
71(2):209–13.
- Russian Ministry of Health: Central Research Institute
of Organization and Informatization of Population. 2004.
Zabolevaemost’ naseleniya Rossii v 2003 godu: Statisticheskie
materialy [Morbidity of population of Russia in
2003: Statistical materials]. Ěoscow. Electronic version.
http://www.minzdravsoc.ru/docs/mzsr/stat/17.
- Russian Ministry of Health: Central Research Institute
of Organization and Informatization of Population. 2006.
Zabolevaemost’ naseleniya Rossii v 2005 godu: Statisticheskie
materialy [Morbidity of population of Russia in
2005: Statistical materials]. Ěoscow. Electronic version.
http://www.minzdravsoc.ru/docs/mzsr/stat/21.
- Russian Ministry of Health: Central Research Institute
of Organization and Informatization of Population. 2008.
Zabolevaemost’ naseleniya Rossii v 2007 godu: Statisticheskie
materialy [Morbidity of population of Russia in
2007: Statistical materials]. Ěoscow. Electronic version.
http://www.minzdravsoc.ru/docs/mzsr/stat/27.
- Russian Ministry of Health: Central Research Institute
of Organization and Informatization of Population. 2010.
Zabolevaemost’ naseleniya Rossii v 2009 godu: Statisticheskie materialy [Morbidity of population of Russia in
2003: Statistical materials]. Ěoscow. Electronic version.
http://www.minzdravsoc.ru/docs/mzsr/stat/33.
- Routh, J.C., D.A. Graham, and C. P. Nelson. 2100.
Epidemiological trends in pediatric urolithiasis at United
States freestanding pediatric hospitals. J. Urology
184(3):1100–4.
- Bonny, O., A. Rubin, Ch.-L. Huang, W.H. Frawley,
C. Y.C. Pak, and O.W. Moe. 2008. Mechanism of urinary
calcium regulation by urinary magnesium and pH.
J. Am. Soc. Nephrol. 19(8):1530–7.
- Djuk, V.A., and V. L. Jemanujel’. 2003. Informatsionnye
tekhnologii v mediko-biologicheskikh issledovaniyakh [Information
technologies inmedical and biological researches].
St. Petersburg, Russia: Piter, 2003. 525 p.
- Liew, P. L., Y.C. Lee, Y.C. Lin, et al. 2007. Comparison
of artificial neural networks with logistic regression
in prediction of gallbladder disease among obese patients.
Digest. Liver Dis. 39(4):356–62.
- Bassi, P., E. Sacco, V. De Marco, et al. 2007. Prognostic
accuracy of an artificial neural network in patients undergoing
radical cystectomy for bladder cancer:Acomparison
with logistic regression analysis. BJU Int. 99(5):1007–12.
- Stephan, C., C. Xu, P. Finne, et al. 2007. Comparison of
two different artificial neural networks for prostate biopsy
indication in two different patient populations. J. Urology
70(3):596–601.
- Izenman, A. J. 2008. Modern multivariate statistical techniques.
Springer. 731 p.
- Stone, M. 1974. Cross-validatory choice and assessment
of statistical predictions (with discussion). J. Roy. Stat.
Soc. B 36:111–47.
- Efron, B. 1979. Bootstrap methods: another look at the
jackknife. Ann. Stat. 7:1–26.
[+] About this article
Title
THE INFORMATION-ANALYTICAL COMPUTER SYSTEM MEGALITH IN OPTIMIZATION OF THE DIAGNOSIS
AND TREATMENT OF UROLITHIASIS
Journal
Informatics and Applications
December 2013, Volume 7, Issue 4, pp 82-93
Cover Date
2013-12-31
DOI
10.14357/19922264130409
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
informational-analytical system; urology; computer diagnostics; treatment scheme; scheme of
prevention
Authors
M. P. Krivenko , S.A. Golovanov , P. A. Savchenko , A. V. Sivkov , and A. P. Suchkov
Author Affiliations
Institute of Informatics Problems, Russian Academy of Sciences, Moscow, Russia
Research Institute of Urology, Moscow, Russia
|