Using Machine Learning to Find Dependencies in Data to Improve Working Conditions : доклад, тезисы доклада

Описание

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

Конференция: International Conference on Recent Innovations in Computing ICRIC 2023; Jammu, India; Jammu, India

Год издания: 2024

Ключевые слова: socio-economic development, economic development, sustainable economic development, economy

Аннотация: This paper discusses the benefits and potential of machine learning in data analysis and its ability to discover hidden dependencies. The paper also discusses a case study on the application of machine learning in medical research to identify factors affecting heart failure mortality. An experiment was conducted investigating prediПоказать полностьюctions using a decision tree, which showed higher accuracy after feature selection. After that, an experiment was conducted investigating the predictions using artificial neural network—multilayer perceptron, which also showed higher accuracy after feature selection. As a result, the most significant influencing factors are identified. Two classifiers were also proposed that can be used to predict mortality, which will improve the working conditions in manufacturing. The results of the study emphasize the importance of using machine learning in modern data analytics and their potential to improve predictive and analytical ability.

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Издание

Журнал: Proceedings of International Conference on Recent Innovations in Computing (ICRIC 2023)

Номера страниц: 657-665

Место издания: Singapore

Персоны

  • Kukartsev V.V. (Reshetnev Siberian State University of Science and Technology)
  • Zamolotskii S.A. (Siberian Federal University)
  • Glinscaya Glinscaya (Reshetnev Siberian State University of Science and Technology)
  • Mikhalev A.S. (Siberian Federal University)

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