FROM PILOT TO A MULTI-SITE TRIAL: REFINING THE EARLY DETECTION OF DETERIORATION IN ELDERLY RESIDENTS (EDDIE +) INTERVENTION

From pilot to a multi-site trial: refining the Early Detection of Deterioration in Elderly Residents (EDDIE +) intervention

Abstract Background Early Detection of Deterioration in Elderly Residents (EDDIE +) is a multi-modal intervention focused on empowering nursing and personal care workers to identify and proactively manage deterioration of residents living in residential aged care (RAC) homes.Building on successful pilot trials conducted between 2014 and 2017, the i

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User behaviour analysis using data analytics and machine learning to predict malicious user versus legitimate user

Research-based on user behavior analysis for authentication is the motivation for this research.We move ahead using a behavioral approach to identify malicious users and legitimate users.In this paper, we have explained how we have applied big data analytics to application-layer logs and predicted malicious users by employing a Machine Learning alg

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Modern views on the recurrence of meningiomas

Meningiomas are common tumors of the central nervous system.Grade I meningiomas are generally considered to be "benign".However, a certain percentage of these tumors have a more aggressive course, similar to malignant tumors.Numerous observations have shown that even in the case of radical removal of the tumor, the latter recur within the next 10 y

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