Hybrid Intelligent Systems for a Personalized Assessment of the State of Complex Medical Objects Using Dynamic Object Modeling

被引：0
作者：
S. B. Rumovskaya
机构：
[1] Kaliningrad Branch of the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences,
来源：
Pattern Recognition and Image Analysis | 2023年 / 33卷
关键词：
hybrid intelligent system; dynamic modeling; intelligent decision support system; complex object of diagnostics; heterogeneous dynamic system; and medical diagnostics and prediction;
D O I：
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摘要：
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页码：483 / 490
页数：7
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