Towards symbolization using data-driven extraction of local trends for ICU monitoring.
ABSTRACT We propose a methodology for the extraction of local trends from a stream of data. It has been designed to suit the needs of interpretation-oriented visualization and symbolization from ICU monitoring data. After giving implementation details for efficient computation of local trends, we propose the use of a characteristic analysis span for each variable. This characteristic span is obtained from a set of criteria that we compare and evaluate in regard of analysis of ICU monitoring data gathered within the Aiddaig project. The processing results in a rich visual representation and a framework for the local symbolization of the data stream based on its dynamics.
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ABSTRACT: Clinical research in critical care is now primarily devoted towards the validation of complex physiopathological theories or new therapies. The role of clinical experience has been progressively replaced by a positivist approach. This article aims at underlying the importance of clinical experience, medical reasoning and of the thought processes of abduction and serendipity in clinical research.Réanimation. 08/2006; 15(4).
Article: New trends in patient monitoringDisease Management and Health Outcomes 01/2002; 10(5):291-306. · 0.36 Impact Factor