Please use this identifier to cite or link to this item: http://dspace.nuph.edu.ua/handle/123456789/19299
Title: Prediction of Outcomes in Victims with Severe Trauma by Statistical Models
Authors: Kozyrieva, O. V.
Kozyrieva, A. K.
Козирєва, О. В.
Козырева, Е. В.
Козирєва, А. К.
Козырева, А. К.
Keywords: injury;prediction;statistical models;victims;severe trauma;trauma score
Issue Date: 2017
Bibliographic description (Ukraine): Kozyryeva, O. V. Prediction of Outcomes in Victims with Severe Trauma by Statistical Models / O. V. Kozyryeva, A. K. Kozyryeva // Journal of Biometrics & Biostatistics. - 2017. - Vol. 8, Iss. 4. - P. 34-43.
Abstract: There are different approaches to the assessment of the severity of trauma in a victim and to the provision of specialized health care. Some of them are based on the development of scales and logistic models, using expert systems or statistical methods, to assess the severity of injury and the probability of a particular outcome. This article presents the results of a study on the feasibility of developing and applying various statistical models in order to predict the outcome in the case of different types of trauma, based on data on the status of victims with severe trauma.
URI: http://dspace.nuph.edu.ua/handle/123456789/19299
Appears in Collections:Наукові публікації кафедри менеджменту, маркетингу та забезпечення якості у фармації

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