Journal of Biometrics & Biostatistics

Petro Zamiatin

Publications

• Research Article
  Prediction of Outcomes in Victims with Severe Trauma by Statistical Models
  Author(s): Juraj Šteno, Valeriy Boyko, Petro Zamiatin, Nadiya Dubrovina, Russell Gerrard, Peter Labas, Olexander Gurov, Olena Kozyreva, Dmytro Hladkykh, Yuliia Tkachenko, Denis Zamiatin and Viktorija BorodinaJuraj Šteno, Valeriy Boyko, Petro Zamiatin, Nadiya Dubrovina, Russell Gerrard, Peter Labas, Olexander Gurov, Olena Kozyreva, Dmytro Hladkykh, Yuliia Tkachenko, Denis Zamiatin and Viktorija Borodina
  
  Background: 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. Patients and methods: We present selected information about 373 victims, admitted and treated at the Department of Traumatic Shock of the GI «V.T. Zaycev Kharkiv Research Institute of General and Emergency Surgery» of NAMS of Ukraine; the records, which relate to patients with severe and .. Read More»
  DOI: 10.4172/2155-6180.1000366

  Abstract PDF