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- W2902061844 abstract "Abstract The cardiac intensive care unit (ICU) is an analytic environment, one in which insight about a patient's condition and evolving trajectory is gleaned from data and information from monitoring systems, electronic health records, and other data repositories. That data, both structured and unstructured, presents rapidly to clinicians and must be effectively managed in a timely manner to meet goals for patient care. With advances in computer and information technology, the evolution of the fields of data science and biomedical informatics, and examples of high-impact experiences with advanced data analytics approaches inside and outside of health care, the ability to effectively process and utilize clinical data, particularly high-frequency data, is on the rise. In the ICU, real-time data analytics, including streaming analytics that employ refined and validated predictive algorithms, have the potential to improve our accuracy in assessing a patient's condition, to support better assessment of the patient's course and response to treatment, and eventually to guide decisions and actions toward achieving the best possible outcomes. In this chapter an introduction to streaming analytics is provided, and experience with a recently developed predictive analytics software platform is discussed as an example of the current state of data analytics applications in the pediatric cardiac care environment." @default.
- W2902061844 created "2018-12-11" @default.
- W2902061844 creator A5017967497 @default.
- W2902061844 date "2019-01-01" @default.
- W2902061844 modified "2023-09-23" @default.
- W2902061844 title "Streaming Analytics in Pediatric Cardiac Care" @default.
- W2902061844 doi "https://doi.org/10.1016/b978-1-4557-0760-7.00003-6" @default.
- W2902061844 hasPublicationYear "2019" @default.
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