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

Конференция: International Business-Information-Management-Association Conference; Madrid, SPAIN; Madrid, SPAIN

Год издания: 2017

Ключевые слова: logical analysis of data, myocardial infarction

Аннотация: Authors propose an approach for the identification of a characteristics subset which can separate the positive and negative observations for a classification problemwith high accuracy. The pilot studies of approach were conducted on a problem of forecasting of complications of a myocardial infarction.

Журнал: VISION 2020: SUSTAINABLE ECONOMIC DEVELOPMENT, INNOVATION MANAGEMENT, AND GLOBAL GROWTH, VOLS I-IX, 2017

Номера страниц: 5592-5597

Место издания: NORRISTOWN

Издатель: INT BUSINESS INFORMATION MANAGEMENT ASSOC-IBIMA

• Kuzmich Roman (Siberian Fed Univ, Krasnoyarsk, Russia)
• Masich Igor (Reshetnev Siberian State Univ Sci & Technol, Siberian Fed Univ, Krasnoyarsk, Russia)
• Stupina Alena (Krasnoyarsk State Agr Univ, Siberian Fed Univ, Krasnoyarsk, Russia)
• Kazakovtsev Lev (Reshetnev Siberian State Univ Sci & Technol, Siberian Fed Univ, Krasnoyarsk, Russia)

• Web of Science Core Collection
• Ядро РИНЦ (eLIBRARY.RU)