Conference Proceedings
Phenotyping intensive care unit patients using temporal abstractions and temporal pattern matching
C Daza, JS Maria, I Gomez, M Barbe, J Trincado, D Capurro
ACM Bcb 2016 7th ACM Conference on Bioinformatics Computational Biology and Health Informatics | ASSOC COMPUTING MACHINERY | Published : 2016
Abstract
Adequate reutilization of routinely generated clinical data is a key component of what has been called a learning healthcare system, a system that is able to generate enough data that can be then analyzed to generate new insights into what works and what doesn't. However, the reutilization of electronic clinical data is not trivial since the quality of such data is usually low or unknown. Several tools have been developed to extract structured data from electronic health records (EHRs)-such as natural language processing-but, to this day, most researchers and quality experts rely on manual data extraction from EHRs. Here we assess the accuracy of ClincalTime, a temporal abstraction and query..
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Awarded by Chilean National Commission for Science and Technology Research (CONICYT)
Funding Acknowledgements
This work was funded by the Chilean National Commission for Science and Technology Research (CONICYT) through grant number 11130577.