Capabilities of expert systems in forecasting operational risk for the most common interventions of abdominal surgery
Abstract
Literature review is devoted to the actual problem of the use of expert medical systems in abdominal surgery. The article describes in details the existing models of support systems for medical decisions in patients with such common diseases as acute pancreatitis, acute cholecystitis and complicated peptic ulcer disease. The authors made a comparative analysis of modern expert systems and described the basic principles of their construction. The problems of existing systems, analysis of the structure and mechanisms, underlying the design of decision support systems (DSS), examples of various options for building a DSS designed for use in the practice of a surgeon with a description of their key differences, advantages and disadvantages are outlined in article.
About the Authors
Ya. A. Bogdanova
Bashkir State medical University
Russian Federation
Russian Federation
Julia Bogdanova, MD, Assistant of the Department of postgraduate and additional professional pharmaceutical education of Institute of additional professional education
Ufa
G. R. Zaripova
Bashkir State medical University
Russian Federation
Russian Federation
Guzel Zaripova, MD, Assistant of the Department of postgraduate and additional professional pharmaceutical education of Institute of additional professional education
Ufa
V. A. Kataev
Bashkir State medical University
Russian Federation
Russian Federation
Valery Kataev, PhD in Pharmaceutics, professor, Head of the Department of postgraduate and additional professional pharmaceutical education of Institute of additional professional education
Ufa
O. V. Galimov
Bashkir State medical University
Russian Federation
Russian Federation
Oleg Galimov, PhD in Medicine, professor, Head of the Department of surgical diseases and new technologies with a course of Institute of additional professional education
Ufa
References
1. Baranov G.A. Clinical aspects of laparoscopy: PhD diss. abstract / G.A. Baranov. – M., 1999. – 97 p.
2. Vinnik Ju.S. The prognosis of course and outcome of acute pacreatitis using neural networks / Ju.S. Vinnik, S.I. Petrushko, S.V. Jakimov // Abstracts of IX all-Russian Congress of surgeons. – Volgograd, 2000. – P.23-24.
3. Gomozov G.I. Automated system for the evaluation of treatment outcomes of patients with acute surgical pathology of abdominal organs / G.I. Gomozov // Medical almanac. – 2012. -№2(21). – P.129-133.
4. Gostishhev V.K. Acute gastroduodenal ulcer bleeding: from strategic concepts to treatment tactics / V.K. Gostishhev, M.A. Evseev. – M., 2005. – 350 p.
5. Gurevich N.A. New information technologies in the prevention of intraoperative complications of laparoscopic surgery in emergency surgery of abdominal organs/ N.A. Gurevich, A.N. Lyzikov, A.R. Gurevich // Novosti hirurgii. – 2007. – №1. – Vol.15. – P. 39-52.
6. Dragun I.A. Automated system for quantifying operational risk /I.A.Dragun, G.G.Ustinov, P.M.Zacepin// News of Tomsk Polytechnic University. – 2007. – Vol.310, №1. – P. 217-221.
7. Drozhzhin E.V. Differentiated tactics of surgical treatment of pancreatic necrosis / E.V. Drozhzhin, A.M. Parsadanjan, D.M. Amiragjan // Vestnik SurGU. Medicina. – 2010. – №1 (4). – P.133-141.
8. Djabkin E.V. The use of modern computer technologies in studying General surgery / E.V. Djabkin// Medicinskij al’manah. – 2013.-№6 (30). – P. 26-28.
9. Zharikov A.N. Computer expert system to determine the prognosis of postoperative peritonitis and choice of surgical treatment method/ A.N. Zharikov, V.G. Lubjanskij, I.V. Kobzev // Sibirskoe medicinskoe obozrenie. – 2014.– №3. – P.48-54.
10. Zharikov O.G. Modern possibilities of the use of some expert systems in medicine / O.G. Zharikov, V.A. Kovalev, A.A. Litvin// Vrach i informacionnye tehnologii. – 2008. – №5. – P.24-30.
11. Zvjagincev V.V. Expert system to predict difficulty of laparoscopic cholecystectomy / V.V. Zvjagincev, A.S. Muhin, Ju.A. Dolgov, Ju.A. Stoljarenko // Medicinskij al’manah. – 2014. – №3 (33). – P. 129-135.
12. Ivanov A.V. Fuzzy mathematical model of the system of decision support for the decision of task of prognostication of acute pancreatitis / A.V. Ivanov, V.N. Mishustin, L.P. Lazurina, V.I. Serebrovskij //Vrach i informacionnye tehnologii. – 2013. – №6. – P. 60-66.
13. Immunological assessment of severity and prognosis of acute pancreatitis / A.S. Ermolov, N.V. Borovkova, P.A. Ivanov [et al.] // Vestnik hirurgii im I.I.Grekova. – 2005. – V.164, №6. – P.22-28.
14. Kolesnikov D.L. The prediction of the probabilities of infections of area of surgical intervention in acute appendicitis / D.L. Kolesnikov // Modern problems of science and education]. – 2013. – №3.
15. КKorenevskij N.A. Prediction, early diagnosis and assessment of severity of acute cholecystitis based on fuzzy logic decision-making / N.A. Korenevskij, M.T. Shehtine, D.A. Pehov, O.N. Tarasov // Bulletin of Voronezh State technical University. – 2009. – V.5, №11. – P. 150-152.
16. Selection Criteria of surgical treatment effectiveness of diffuse peritonitis / V.S.Savel’ev, B.R. Gelfand, M.I. Filimonov [et al.]. – Annals of surgery (Rus.). – 2013. - №2. – p. 48-54.
17. Krichmar A.M. Predicting relaparotomy in the surgical treatment of severe acute pacreatitis / A.M. Krichmar// News of the Samara scientific center, RAS. – 2015. – V.17, № 5 (3). – P.803-809.
18. Kuznecov A.B. Prediction of treatment outcome in patients with complicated abscess acute obstructive calculouscholecystitis, choledocholithiasis // Medial’. – 2016. – №2 (16). – P. 15-21.
19. Litvin A.A. System of support of decisionmaking in surgery / A.A. Litvin, V.A. Litvin // News of surgery. – 2014. – V.22(1). – P.96-100.
20. Litvin A.A. The modern possibilities of prediction of infectious complications of severe acute pancreatitis (literature review) / A.A. Litvin // Bulletin of Saint Petersburg University. – Ser.11. – 2009. – Vyp.3. – P. 127-134.
21. Litvin A.A. The system of support of decisionmaking in the prediction and diagnosis of infected pancreatic necrosis / A.A. Litvin, O.G. Zharikov, V.A. Kovalev // The doctor and information technology. – 2012. – №2. – P.54-62.
22. Litvin A.A. System of support of decisionmaking in the diagnosis and treatment of acute pancreatitis / A.A. Litvin, O.Ju. Rebrova // Problems of health and ecology. – 2016. – V. №2 (48). – P.10-17.
23. Morozov S.V. Prognosis of course of acute pancreatitis / S.V. Morozov, V.T. Dolgih, A.B. Rejs// Siberian medical journal. – 2010. – №5. – P. 11-15.
24. Nikitenko V.I. Immunological and bacteriological indicators in the prediction of complications in patients with necrotizing pancreatitis complicated by peritonitis / V.I. Nikitenko, V.S. Tarasenko, V.K. Esipov // Abstracts of IX all-Russian Congress of surgeons. – Volgograd, 2000. – P. 89.
25. New technologies in diagnostics and surgical treatment of postnecrotic complications of acute pancreatitis / A.B.Rejs, S.V.Morozov, V.L.Polujektov [et al.] // Omsk scientific Bulletin. – 2013. – №1 (118). – P. 156-159.
26. Osin A.V. Electronic educational resources of new generation: open educational modular multimedia systems / Collection of scientific articles «Internet portals: content and technology». -M.: Prosveshhenie, 2007. – V.4. – P.12-29.
27. Errors, complications and mortality in patients with acute surgical diseases of abdominal cavity organs / A.E. Borisov [et al.]. – Spb, 2000. – 162 p.
28. Assessment of severity and prognosis of disease in ulcerative gastroduodenal bleedings (review) / S.N. Potahin, Ju.G. Shapkin, Ju.V. Chalyk [et al.] // Saratov scientific medical journal. – 2014. – №2(10). – P.301-307.
29. Predicting the course and outcomes of severe acute pancreatitis / P.I. Mironov [et al.] // Fundamental research. – 2011. – №10. – P.319-23.
30. Pustobaeva O.N. Electronic textbook in the organization and management of educational process / O.N. Pustobaeva // The success of modern science. – 2008. – №4. – P.57-58.
31. Saganov V.P. Sterile and infected forms of pancreatic necrosis as a problem of urgent surgery ( review of literature) / V.P. Saganov, V.E. Hitriheev, G.D. Gunzynov, O.V. Ochirov // Bulletin of Buryat University. – 2010. – №12. – P.175-179.
32. Siplivyj V.A. Objective assessment of the severity and individualized approach in acute pancreatitis] / V.A. Siplivyj, E.A. Shapovalov, D.V. Evtushenkov // Abstracts of the XIV international conference of surgeons-hepatologists of Russia and CIS countries. – Spb., 2007. – P.227-228.
33. Sotnichenko B.A. The possibility of predicting the course of acute destructive pancreatitis on the basis of the dynamics of the cytokine status / B.A. Sotnichenko, S.V. Salienko // Abstracts of XIV international conference of surgeonshepatologists of Russia and CIS countries. – Spb, 2007. – P.229.
34. Hrjachkov V.V. Suppurative pancreatitis and its complications (diagnosis, treatment, prognosis) / V.V. Hrjachkov, S.A. Shuljak. – Hanty-Mansiijsk, 1998. – 238 p.
35. Shnejder V.Je. Predicting the risk of development of postoperative complications in traumatic injuries of the pancreas / V.Je. Shnejder, A.G. Sannikov // Support systems medical decision-making. – 2015. – №1. – P.35-43.
36. Shul’ga A.F. The results of treatment of acute cholecystitis in a multidisciplinary hospital / A.F.Shul’ga, E.S.Gubochkin, S.N Pokaljuhin // Bulletin of St. Petersburg University. – 2009. – №11(2). – P.87-93.
37. Judin V.A. Prediction of severity of necrotizing pancreatitis / V.A. Judin // Actual problems of surgical Hepatology. – Ekaterinburg, 2009. – P.106.
38. Association of extent and infection of pancreatic necrosis with organ failure and death in acute necrotizing pancreatitis / P.K. Gard, K. Madan, G.K. Pande [et al.] // Clin.Gastroenterol. Hepatol. – 2005. – Vol.3, №2. – P.159-166.
39. Frossard J.-L. New serum markers for the detection of severe acute pancreatitis in humans / J.-L. Frossard, A. Hadengue, C.M. Pastor // Amer. J. Respir. Crit. Care Med. – 2001.– Vol.164. – P.162-170.
40. Holster I.L. Management of acute nonvariceal upper gastrointestinal bleeding: current policies and future perspectives / I.L. Holster, E.J. Kuipers // World J. Gastroenterol. 2012; 18(11): 1202-1207.
41. Prediction of severe acute pancreatitis at admission to hospital using artificial neural networks / B. Andersson [et al.] // Pancreatology. – 2011. – Vol.11, №3. – P. 328-35.
42. Systemic inflammatory response syndrome and organ dysfunction following gastrointestinal surgery / Y. Haga, T. Beppy, K. Doi [et al.] // Crit. Care Med. – 1997. – Vol.25. – P.1994-2000.
43. The potential role of procalcitonin and interleukin 8 in the prediction of infected necrosis in acute pancreatitis / B. Rau, G. Steinbach, F. Gansauge [et al.] // Gut. – 1997. – Vol. 41, №6. – P.832-840.
44. Yang A.L. Epidemiology of alcohol-related liver and pancreatic disease in the United States / A.L. Yang, S. Vadhavkar, G. Singh, M.B. Omary // Arch. Intern. Med. – 2008. – Vol.168. – P.649-656.
Review
For citations:
Bogdanova Ya.A., Zaripova G.R., Kataev V.A., Galimov O.V. Capabilities of expert systems in forecasting operational risk for the most common interventions of abdominal surgery. Yakut Medical Journal. 2016;(4):49-53.
Views:
7
Email this article 