Real-Time Analytics for Legacy Data Streams in Health: Monitoring Health Data Quality

No abstract is available for this paper.

• Publication year

  2013

• Venue

  IEEE International Enterprise Distributed Object Computing Conference

• Publication date

  2013-09-09

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1109/EDOC.2013.19
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• HL7 Version 3 Standard: Decision Support Service (DSS), Release 2

  2013cited by this paper
• Syndromic surveillance for health information system failures: a feasibility study

  2013influential reference
• Health IT and Patient Safety: Building Safer Systems for Better Care

  2012cited by this paper
• Processing flows of information: From data stream to complex event processing

  2012cited by this paper
• Big data

  2012cited by this paper
• On design and implementation of a contract monitoring facility

  2004cited by this paper
• A unified behavioural model and a contract language for extended enterprise

  2004cited by this paper
• The Power of Events

  2002cited by this paper
• The power of events - an introduction to complex event processing in distributed enterprise systems

  2002cited by this paper
• Describing and supporting complex interactions in distributed systems

  2001cited by this paper
• Generic Support for Distributed Applications

  2000cited by this paper
• Describing open distributed systems: a foundation

  1997cited by this paper
• Logical time in distributed computing systems

  1991cited by this paper

• Real-Time Analytics: Concepts, Architectures, and ML/AI Considerations

  2023cites this paper
• Optimizing Healthcare Workflows through Java-Powered Real-Time Data Analytics

  2023cites this paper
• On Computable Expressions of Policies for Digital Health: Use for Privacy Consent

  2021cites this paper
• Information Quality Assessment for the Medical Wearable Devices: Validation Study

  2020influential citation
• Smart Contracts-Enabled Simulation for Hyperconnected Logistics

  2020cites this paper
• Enacting policies in digital health: a case for smart legal contracts and distributed ledgers?

  2020cites this paper
• Detecting trend deviations with generic stream processing patterns

  2019cites this paper
• Real-Time Data Mining for Event Streams

  2018cites this paper
• Implementation of an Architecture for Streaming Data Acquisition Incorporating Quality Attributes

  2018cites this paper
• Towards digitalisation of healthcare policies: case for smart legal contracts?

  2018cites this paper
• Analysis of Big Data vendors for SMEs

  2017cites this paper
• From Complex Event Processing to Simple Event Processing

  2017cites this paper
• Enabling user-driven rule management in event data analysis

  2016cites this paper
• When RV Meets CEP

  2016cites this paper
• Pervasive Adaptive Data Acquisition Gateway for Critical Healthcare

  2016cites this paper
• Real-Time Analytics

  2016cites this paper
• An open architecture for event-based analytics

  2016cites this paper
• Data Stream Quality Evaluation for the Generation of Alarms in the Health Domain

  2015cites this paper
• An Impact of Linear Regression Models for Improving the Software Quality with Estimated Cost

  2015cites this paper
• Real Time Analytics for Non-Web Based Applications

  2015cites this paper
• An Event-Based Model to Support Distributed Real-Time Analytics: Finance Case Study

  2015cites this paper
• Healthcare Analytics Adoption-Decision Model: A Case Study

  2015cites this paper
• Validating an Incremental Rule Management Approach for Financial Market Data Pre-processing

  2014cites this paper
• A Formalization of Complex Event Stream Processing

  2014cites this paper
• Data Streams Quality Evaluation for the Generation of Alarms in Health Domain

  2014cites this paper
• 2016 Ieee International Conference on Big Data (big Data) a Glue Language for Event Stream Processing

  year unknowncites this paper
• An Approach of Statistical Methods for Improve Software Quality and Cost Minimization

  year unknowncites this paper