Multiple signal integration by decision tree induction to detect artifacts in the neonatal intensive care unit

No abstract is available for this paper.

• Publication year

  2000

• Venue

  Artif. Intell. Medicine

• Publication date

  2000-07-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1016/S0933-3657(00)00045-2PMID 10906612
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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  1997influential reference
• Reducing False Alarms in the Intensive Care Unit: A Systematic Comparison of Four Algorithms

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• Early diagnosis of acute myocardial infarction using clinical and electrocardiographic data at presentation: derivation and evaluation of logistic regression models.

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  1994influential reference
• A knowledge-based alarm system for monitoring cardiac operated patients-assessment of clinical performance

  1994cited by this paper
• Use of two oximeters to investigate a method of movement artefact rejection using photoplethysmographic signals.

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• Programs for Machine Learning

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  1990influential reference
• Automation of Physiologic Data Presentation and Alarms in the Post Anesthesia Care Unit

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• Physiologic trend detection and artifact rejection: a parallel implementation of a multi-state Kalman filtering algorithm.

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• Ergonomics and Anaesthesia: Auditory Alarm Signals in the Operating Room

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• The meaning and use of the area under a receiver operating characteristic (ROC) curve.

  1982cited by this paper
• Improved detection of adverse cardiovascular trends with the use of a two-variable computer alarm.

  1980cited by this paper
• Evaluation of a computerized arrhythmia alarm system.

  1977cited by this paper

• Artifact management methodologies for arterial blood pressure signals: A systematic scoping review of human and animal literature

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