A Knowledge Management Based Approach for Mortality Prediction in the Neonatal Intensive Care Unit

作者: Vikraman Baskaran , Irene Bajan , Bharat Shah , Franklyn I. Prescod , Andrew James

DOI: 10.1109/DESE.2011.21

关键词:

摘要: The Neonatal Intensive Care Unit (NICU) is one of the most information sensitive environments where efforts are made continuously to deliver optimal health-care for fragile, critically ill patients. NICU health care providers employ cutting edge clinical processes, technologies, and latest tools techniques provide new born infants. Research has shown that predicting an infant's mortality important in making critical decisions. Contemporary, 21st century neonatal intensive involves active participation parents. Although, there scores can be used measure severity illness, they complex difficult comprehend a novice. Hence, need combine all related obtain indication newborn state health. A score Mortality Prediction (NMPS) proposed this paper. This NMPS would easy understood numeric value comprehended by both factors captured from antenatal, perinatal periods estimating consolidated score.

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