Acute pancreatitis severity classi cation: accuracy, robustness, visualization : доклад, тезисы доклада

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Applied Methods of Statistical Analysis. Statistical Computation and Simulation - AMSA'2019; Novosibirsk; Novosibirsk

Год издания: 2019

Ключевые слова: classi cation, machine learning, visualization, violin plot, bootstrapping

Аннотация: The work is devoted to the problem of acute pancreatitis severity classi - cation. This problem is characterized by a small amount of data, which leads to unstable estimations for new patients and a strong inuence of the training sample on the predictions. In this paper prediction stability visualization based on violin plot is proПоказать полностьюposed and applied. A simulation experiments are carried out to study the stability of linear regression, support vector machine, random forest trained with various subsets.

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Издание

Журнал: Applied Methods of Statistical Analysis. Statistical Computation and Simulation - AMSA'2019

Номера страниц: 278-285

Место издания: Novosibirsk

Издатель: Новосибирский государственный технический университет

Персоны

  • Mangalova Ekaterina (LLC RD-Science)
  • Chubarova Olesya (Siberian Federal University)
  • Melekh Daniil (Siberian Federal University)
  • Stroev Anton (Krasnoyarsk State Medical University named after Prof. V.F.Voino-Yasenetsky)

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