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Knowledge discovery and knowledge validation in intensive care
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DOI：10.1016/S0933-3657(00)00047-6.png)
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摘要
En 中文
Operational protocols are a valuable means for quality control. However, developing operational protocols is a highly complex and costly task. We present an integrated approach involving both intelligent data analysis and knowledge acquisition from experts that support the development of operational protocols. The aim is to ensure high quality standards for the protocol through empirical validation during the development, as well as lower development cost through the use of machine learning and statistical techniques. We demonstrate our approach of integrating expert knowledge with data driven techniques based on our effort to develop an operational protocol for the hemodynamic system. (C) 2000 Elsevier Science B.V. All rights reserved.
Keyword:
operational protocols
online-monitoring
time series analysis
machine learning
statistical pattern recognition
knowledge based systems
knowledge validation
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6.2
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2.5K
被引数:
7.8K
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Statistical pattern detection in univariate time series of intensive care on-line monitoring data.png)
INTENSIVE CARE MEDICINEOAAI
INTENSIVE CARE MEDICINEIF21.2
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