INFORMATION TECHNOLOGY FOR CHOOSING THE CORRECTIVE FACILITIES UNDER STRESS IMPACT ON THE BIOLOGICAL OBJECT
Abstract
Keywords
Full Text:
PDF (Русский)References
Lebedinskiy, K. M. Anesteziya i sistemnaya gemodinamika [Anesthesia and systemic hemodynamics]. SPb, Chelovek Publ., 2000. 296 p.
Logvinenko, V. V., Shen, N. P. Sravnitelnaya harakteristika riskov razvitiya nezhelatelnyih sobyitiy i kriticheskih intsidentov pri obschey i regionarnoy anestezii. Analiz 6 let klinicheskoy praktiki [Comparative characteristics of the risks of development of undesirable events and critical incidents in general and regional anesthesia. Analysis of 6 years of clinical practice]. Regionarnaja anestezija i lechenie ostroj boli – Regional anesthesia and treatment of acute pain, 2015, no. 2, pp. 22–28.
Eroglu, A., Apan, A., Erturk, E., Ben-Shlomo, I. Comparison of the Anesthetic Techniques. Scientific World Journal, 2015, no. 2, pp. 50–84.
Dyagilev, M. A., Estrin, V. V., Kraynova, N. N. Sposob vyibora anesteziologicheskogo obespecheniya pri operativnyih vmeshatelstvah [Method of choosing anesthetics for surgery]. Available at: http://www.findpatent.ru/patent/157/1572650.html (аccessed 12.05.2018).
Logvinenko, V. V., Shen, N. P. Vyibor optimalnogo anesteziologicheskogo obespecheniya ambulatornyih operativnyih vmeshatelstv v travmatologii [The choice of optimal anesthesia for outpatient surgery in traumatology]. Regionarnaya anesteziya i lechenie ostroy boli – Regional anesthesia and treatment of acute pain, 2010, no 3, pp. 38–41.
Hendrickx, J., Lemmens, H., De Cooman, S., Van Zundert, A., Grouls, R., Mortier, E., De Wolf., A. Mathematical method to build an empirical model for inhaled anesthetic agent wash-in 2011. Available at: https://doi.org/10.1186/1471-2253-11-13 (аccessed 24.06.2011).
Porvan, A. Technology for determining of students adaptive capabilities. Information Technologies in Innovation Business Conference: Proceedings ITIB, 7-9 Oct 2015, Kharkiv, 2015, pp. 47–51.
Balym, Y., Vysotska, O., Pecherska, A., Bespalov, Y. Mathematical modeling of systemic colorometric parameters unmasking wild waterfowl. Eastern European Journal of Enterprise Technologies, 2017, no. 5(2-89), pp. 12–18.
Semenova, N. G., Kryilov, I. B. Razrabotka agentno-orientirovannoy intellektualnoy obuchayuschey sistemyi na osnove nechetkoy neyronnoy seti Takagi-Sugeno-Kanga [Development of agent-oriented intellectual learning system based on the fuzzy neural network Takagi-Sugeno-Kanga]. Vektor nauki TGU – Vector of science TSU, 2015, no. 2 (32-1), pp.11–19.
Truhanova, I. G., Baldin, I. N., Zaharova, N. O. Algoritm vyibora anesteziologicheskogo obespecheniya pri holetsistektomii u pozhilyih patsientov [Algorithm for choosing anesthesia for cholecystectomy in elderly patients] Izvestiya Samarskogo nauchnogo tsentra Rossiyskoy akademii nauk – Izvestiya of the Samara Scientific Center of the Russian Academy of Sciences, 2015, vol. 17, no. 2, pp. 392–397.
De Georgia, M. A., Kaffashi, F., Jacono, F. J., Loparo, K. A. Information Technology in Critical Care: Review of Monitoring and Data Acquisition Systems for Patient Care and Research. The Scientific World Journal, 2015, no. 9, pp. 9–15.
Makushev, V. O., NovIkova, A. O. Modelyuvannya fiziologiyi bolyu [Modeling the physiology of pain]. Biomeditsinskaya inzheneriya i elektronika – Biomedical Engineering and Electronics, 2015, no. 2(9), pp. 1–62.
Kruger, G. H., Chen, Ch., Blum, J. M., Shih, A. J., Tremper, K. K. Reactive software agent anesthesia decision support system. Systemics, cybernetics and informatics, 2011, vol. 9, no. 6, pp. 30–37.
Imhoff, M., Kuhls, S., Gather, U. Clinical relevance of alarms from patient monitors. Critical Care Medicine, 2007, no. 34, pp. 62–71.
Sokolskiy, V. M., Kantemirov, V. I. Рrocess control system of a multicomponent general anesthesia based on current measurement of physiological parameters. Modern problems of science and education, 2012, no. 1, pp. 14–26.
Maklarov, S. BPwin и Erwin. CASE-sredstva dlja razrabotki informacionnyh sistem [BPwin and Erwin. CASE-tools for the development of information systems]. Moscow, DIALOG - MIFI Publ., 2005, 256 p.
Chawda, M. N, Hildebrand, F., Pape, H. C., Giannoudis, P. V. Predicting outcome after multiple trauma: which scoring system? Injury, 2004, no. 35(4), pp. 347–358.
Georgiyants, М., Khvysyuk, О, Boguslavskaуa, N., Vysotska, О., Pecherska, А. Development of a mathematical model for predicting postoperative pain among patients with limb injuries. Eastern-European Journal of Enterprise Technologies, 2017, vol. 4, issue 4 (86), pp. 4 – 9.
Kuznetsov, M. MySQL 5. SPb, BHV-Peterburg Publ., 2010, 1007 p.
DOI: https://doi.org/10.32620/reks.2018.3.05
Refbacks
- There are currently no refbacks.