A method for assessing the blood clotting system in pregnant women using a fuzzy classifier is described. Informative parameters were identified. Use of a gravitational algorithm for optimizing the parameters of the fuzzy classifier is described. Test results are presented.
Similar content being viewed by others
References
Say, L., Chou, D., Gemmill, A., Tuncalp, Ö., Moller, A.-B., Daniels, J., Gülmezoglu A. M., Temmerman, M., and Alkema, L., “Global causes of maternal death: A WHO systematic analysis,” Lancet Global Health, 2, No. 6, e323-e333 (2014).
Kulikov, A. V., Martirosyan, S. V., and Oboskalova, T. A., A Protocol for Emergency Care for Hemorrhage in Obstetrics. Methodological Guidelines [in Russian], Ekaterinburg (2010).
Ailamazyan, E. K., Repina, M. A., and Kuz’minykh, T. U., “A further view of the problem of obstetric hemorrhage,” Ah. Akush. Zhen. Bolezn., LVII, No. 3, 3-11 (2008).
Shifman, E. M., Kulikov, A. V., and Belomestnov, S. R., “Intensive care and anesthesia in hemorrhage in obstetrics. Clinical guidelines,” Anesteziol. Reanimatol., No. 1, 76-78 (2014).
Belomestnov, S., Zhilin, A., Matkovskii, A., Bykov, A., and Kulikov, A., “Intraoperative monitoring of hemostasis in obstetrics,” Meditsina Tselev. Proekty, No. 18, 24-25 (2014).
Gorbunov, I. V. and Hodashinsky, I. A., “Methods for constructing three-criterion Pareto optimal fuzzy classifiers,” Iskusst. Intell. Prin. Reshchen., No. 2, 75-87 (2015).
Scherer, R., “Multiple fuzzy classification systems,” in: Studies in Fuzziness and Soft Computing, Vol. 288 (2012).
Hodashinsky, I. A., Gorbunov, I. V., Sarin, K. S., and Subkhankulova, S. R., “Algorithms for structural identification of compact and accurate fuzzy systems,” in: Information and Mathematical Techniques in Science and Control [in Russian], No. 1 (2016), pp. 82-93.
Tyutrin, I. I., Shpisman, M. N., and Stetsenko, A. I., “A study method and an integral assessment of the rheological properties of blood (determination and interpretation of plots of changes in blood aggregation state),” in: Current Problems in Clinical Investigations of the Blood [in Russian], STT, Tomsk (1997), pp. 8-18.
Cordon, O., Del Jesus, M. J., and Herrera, F., “A proposal on reasoning methods in fuzzy rule-based classification systems,” Int. J. Approx. Reas., 20, 21-45 (1999).
Rashedi, E., Nezamabadi-pour, H., Saryazdi, S., “GSA: A Gravitational Search Algorithm,” Inform. Sci., 179, 2232-2248 (2009).
Yen, J. and Wang, L., “Application of statistical information criteria for optimal fuzzy model construction,” IEEE Trans. Fuzzy Systems, 6, No. 3, 362-372 (1998).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Meditsinskaya Tekhnika, Vol. 51, No. 3, May-Jun., 2017, pp. 52-55.
Rights and permissions
About this article
Cite this article
Hodashinsky, I.A., Bardamova, I.B. & Bardamova, M.B. Complex Assessment of Coagulation Parameters in Pregnant Women Using a Fuzzy Classifier. Biomed Eng 51, 223–228 (2017). https://doi.org/10.1007/s10527-017-9719-2
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10527-017-9719-2