Efficient uncertainty management in complex event systems

Wasserkrug, Segev; Gal, Avigdor; Turchin, Yulia; Etzion, Opher

doi:10.1145/1385989.1386028

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…Similar work on uncertainty in complex event streams was demonstrated in [5]. Wasserkrug et al confirm that most contemporary event composition systems are unable to handle incomplete or uncertain information.…”

Section: Background and Related Workmentioning

confidence: 58%

A Notion of Event Quality for Contextualized Planning and Decision Support Systems

Wienhofen

Preuveneers

Landmark

et al. 2011

Modeling and Using Context

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This paper presents an approach for contextualizing an event-based decision support system for scheduling patient assessments in a hospital. To cope with unexpected delays, patient coordinators often pursue a worst case scenario when scheduling patient assessments, leading to an underutilization of human resources and equipment when the procedure went without complications. We present a context-based decision support system for patient planning that helps the patient coordinator with taking well-informed rescheduling decisions and anticipating changes in other patients' schedules. The system uses information and events produced by medical equipment. As these events can be nondeterministic, we demonstrate how our domain specific context model can be used to contextualize events to enhance their quality and ascertain their meaning.

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Section: Background and Related Workmentioning

confidence: 58%

A Notion of Event Quality for Contextualized Planning and Decision Support Systems

Wienhofen

Preuveneers

Landmark

et al. 2011

Modeling and Using Context

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show abstract

“…They address the reliability of measured data by body sensors and communicating the data over heterogeneous wireless networks. Wasserkrug et al [15] carried out similar work on uncertainty in complex event streams. They confirm that most contemporary event composition systems are unable to handle incomplete or uncertain information.…”

Section: Background and Related Workmentioning

confidence: 99%

Event Quality Awareness for Contextualized Decision Support in e-Health Applications

Wienhofen

Preuveneers

Toussaint

et al. 2014

Context in Computing

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This chapter introduces contextualization of events as means to improve decision support systems in clinical environments. Modern hospitals are full of technology producing electronic records of events and activities, each meaningful in their specific context. This creates the opportunity to culminate these events into a wealth of information that we can tap into to take better informed decisions and facilitate coordination. By means of a problem frame analysis of a use case in a hospital setting, we motivate the importance of event contextualization. We explain and evaluate how the quality of these events impact decision making when changes to a pre-set patient trajectory occur. 16.1 Introduction This chapter focuses on context-awareness in the e-health domain with a case study on the patient trajectory as a clinical process in a hospital setting. We define a patient trajectory as a timeline-oriented representation of what actually has occurred and will happen with the patient during encounters with clinicians. Through inspecting a patient trajectory, a clinician can see how far the plan concerning a patient has progressed, and also whether there have been deviations from the original plan. Based on this information, he can decide if he needs to make any adjustments to

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Efficient uncertainty management in complex event systems

Cited by 2 publications

References 5 publications

A Notion of Event Quality for Contextualized Planning and Decision Support Systems

A Notion of Event Quality for Contextualized Planning and Decision Support Systems

Event Quality Awareness for Contextualized Decision Support in e-Health Applications

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