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Prediction of Length of Hospital Stay in Preterm Infants a Case-Based Reasoning View

  • Ana Coimbra
  • Henrique Vicente
  • António Abelha
  • M. Filipe Santos
  • José Machado
  • João Neves
  • José NevesEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 56)

Abstract

The length of stay of preterm infants in a neonatology service has become an issue of a growing concern, namely considering, on the one hand, the mothers and infants health conditions and, on the other hand, the scarce healthcare facilities own resources. Thus, a pro-active strategy for problem solving has to be put in place, either to improve the quality-of-service provided or to reduce the inherent financial costs. Therefore, this work will focus on the development of a diagnosis decision support system in terms of a formal agenda built on a Logic Programming approach to knowledge representation and reasoning, complemented with a case-based problem solving methodology to computing, that caters for the handling of incomplete, unknown, or even contradictory information. The proposed model has been quite accurate in predicting the length of stay (overall accuracy of 84.9 %) and by reducing the computational time with values around 21.3 %.

Keywords

Preterm infants Length of stay Neonatology Knowledge representation and reasoning Logic programming Case-based reasoning 

Notes

Acknowledgments

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT—Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Ana Coimbra
    • 1
  • Henrique Vicente
    • 2
    • 3
  • António Abelha
    • 3
  • M. Filipe Santos
    • 3
  • José Machado
    • 3
  • João Neves
    • 4
  • José Neves
    • 3
    Email author
  1. 1.Departamento de InformáticaUniversidade do MinhoBragaPortugal
  2. 2.Departamento de QuímicaEscola de Ciências e Tecnologia Universidade de ÉvoraÉvoraPortugal
  3. 3.Centro AlgoritmiUniversidade do MinhoBragaPortugal
  4. 4.Drs. Nicolas & AspDubaiUnited Arab Emirates

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