Therapy planning using qualitative trend descriptions

  • Silvia Miksch
  • Werner Horn
  • Christian Popow
  • Franz Paky
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 934)


This paper addresses a method of therapy planning applicable in the absence of an appropriate curve-fitting model. It incorporates knowledge about data points, data intervals, and expected qualitative trend description to arrive at unified qualitative descriptions of parameters (temporal data abstraction). Our approach benefits from derived qualitative values which can be used for recommending therapeutic actions as well as for assessing the effectiveness of these actions within a certain period. It results in an easily comprehensible and transparent concept of therapy planning. Furthermore, we improved the system model of data interpretation and therapy planning by using importance ranking of variables, priority lists of attainable goals, and pruning of contradictory therapy recommendations.

Our methods are applicable in domains where an appropriate curve-fitting model is not available in advance. We have applied them in the field of artificial ventilation of newborn infants. The utility of our approach is illustrated by VIE-VENT, an open-loop knowledge-based system for artificially ventilated newborn infants.


Therapeutic Action Target Range Attainable Goal Ventilator Setting Artificial Ventilation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Silvia Miksch
    • 1
  • Werner Horn
    • 1
    • 2
  • Christian Popow
    • 3
  • Franz Paky
    • 4
  1. 1.Austrian Research Institute for Artificial Intelligence (ÖFAI)ViennaAustria
  2. 2.Department of Medical Cybernetics and Artificial IntelligenceUniversity of ViennaAustria
  3. 3.NICU, Division of Neonatology, Department of PediatricsUniversity of ViennaAustria
  4. 4.Department of PediatricsHospital of MödlingAustria

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