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Article Dans Une Revue Methods of Information in Medicine Année : 2001

Discussing anomalous situations: A head injury case study

Andrew Mcquatt
  • Fonction : Auteur
Peter J. D. Andrews
  • Fonction : Auteur
Derek Sleeman
  • Fonction : Auteur
Patricia A. Jones
  • Fonction : Auteur

Résumé

OBJECTIVES: Predicting the outcome of seriously ill patients is a challenging problem for clinicians.METHODS: One alternative to clinical trials is to analyse existing patient data in an attempt to predict the several outcomes, and to suggest therapies. In this paper we use decision tree techniques to predict the outcome of head injury patients. The work is based on patient data from the Edinburgh Royal Infirmary which contains both background (demographic) data and temporal (physiological) data.RESULTS: The focus of this paper is the discussion of the anomalous cases in the decision trees with the domain experts (the clinicians).CONCLUSIONS: These analyses led to the detection of several situations where both the data analysis and patient data collection should be enhanced, which in turn should lead to improved patient care.
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Dates et versions

hal-01184266 , version 1 (13-08-2015)

Identifiants

  • HAL Id : hal-01184266 , version 1

Citer

Andrew Mcquatt, Peter J. D. Andrews, Derek Sleeman, Vincent Corruble, Patricia A. Jones. Discussing anomalous situations: A head injury case study. Methods of Information in Medicine, 2001, 40 (5), pp.373-379. ⟨hal-01184266⟩
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