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The CASH Database

The database is the hub of the CASH service. The content can be added, searched and exported to create personalised alerting services for library customers.  There are a number of newsfeeds that can be embedded into external CAS website pages keeping them constantly updated with the latest content.

To search for a specific item enter a keyword that may appear in either the title or summary.

Database entry is very quick and easy, see the Database Quick Guide for further support.

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  • Search for the first three words in the title e.g. "Five year forward" will find everything about the Five Year Forward View
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Early prediction of central line associated bloodstream infection using machine learning

American Journal of Infection Control
Year of publication
Central line-associated bloodstream infections (CLABSIs) are associated with significant morbidity, mortality, and increased healthcare costs. Despite the high prevalence of CLABSIs in the U.S., there are currently no tools to stratify a patient's risk of developing an infection as the result of central line placement. To this end, we have developed and validated a machine learning algorithm (MLA) that can predict a patient's likelihood of developing CLABSI using only electronic health record data in order to provide clinical decision support.
Date added
Created by
Catherine Stead
Published by
Current Awareness Service for Health