The Decision Support Model for Forecasting of Wounded and Sick Restoration in Hospital Conditions Based on Psychophysiological Data

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Бібліографічні деталі
Дата:2017
Автори: A. V. Shvets, Ju. Kikh
Формат: Стаття
Мова:Англійська
Опубліковано: 2017
Назва видання:Cybernetics and computer engineering
Онлайн доступ:http://jnas.nbuv.gov.ua/article/UJRN-0000792381
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author A. V. Shvets
Ju. Kikh
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Ju. Kikh
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spelling open-sciencenbuvgovua-388442024-02-29T11:43:20Z The Decision Support Model for Forecasting of Wounded and Sick Restoration in Hospital Conditions Based on Psychophysiological Data A. V. Shvets Ju. Kikh 0454-9910 2017 en Cybernetics and computer engineering http://jnas.nbuv.gov.ua/article/UJRN-0000792381 Article
spellingShingle Cybernetics and computer engineering
A. V. Shvets
Ju. Kikh
The Decision Support Model for Forecasting of Wounded and Sick Restoration in Hospital Conditions Based on Psychophysiological Data
title The Decision Support Model for Forecasting of Wounded and Sick Restoration in Hospital Conditions Based on Psychophysiological Data
title_full The Decision Support Model for Forecasting of Wounded and Sick Restoration in Hospital Conditions Based on Psychophysiological Data
title_fullStr The Decision Support Model for Forecasting of Wounded and Sick Restoration in Hospital Conditions Based on Psychophysiological Data
title_full_unstemmed The Decision Support Model for Forecasting of Wounded and Sick Restoration in Hospital Conditions Based on Psychophysiological Data
title_short The Decision Support Model for Forecasting of Wounded and Sick Restoration in Hospital Conditions Based on Psychophysiological Data
title_sort decision support model for forecasting of wounded and sick restoration in hospital conditions based on psychophysiological data
url http://jnas.nbuv.gov.ua/article/UJRN-0000792381
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AT avshvets decisionsupportmodelforforecastingofwoundedandsickrestorationinhospitalconditionsbasedonpsychophysiologicaldata
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