Knowledge elicitation for validation of a neonatal ventilation expert system utilising modified Delphi and focus group techniques

Kenneth Hark Hong Tan, Gordon Baxter, Simon Newell, Steve Smye, Peter Dear, Keith Brownlee, Jonathan Darling

Research output: Contribution to journalArticleResearchpeer-review

12 Citations (Scopus)

Abstract

It is well known that ventilation strategies for newborn infants may vary significantly between individual doctors. The aim of this study was to elicit knowledge of ventilation management to provide a baseline for evaluating the performance of an expert system for neonatal ventilation (FLORENCE).
Original languageEnglish
Pages (from-to)344 - 354
Number of pages11
JournalInternational Journal of Human Computer Studies
Volume68
DOIs
Publication statusPublished - 2010

Cite this

Tan, Kenneth Hark Hong ; Baxter, Gordon ; Newell, Simon ; Smye, Steve ; Dear, Peter ; Brownlee, Keith ; Darling, Jonathan. / Knowledge elicitation for validation of a neonatal ventilation expert system utilising modified Delphi and focus group techniques. In: International Journal of Human Computer Studies. 2010 ; Vol. 68. pp. 344 - 354.
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Knowledge elicitation for validation of a neonatal ventilation expert system utilising modified Delphi and focus group techniques. / Tan, Kenneth Hark Hong; Baxter, Gordon; Newell, Simon; Smye, Steve; Dear, Peter; Brownlee, Keith; Darling, Jonathan.

In: International Journal of Human Computer Studies, Vol. 68, 2010, p. 344 - 354.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Tan, Kenneth Hark Hong

AU - Baxter, Gordon

AU - Newell, Simon

AU - Smye, Steve

AU - Dear, Peter

AU - Brownlee, Keith

AU - Darling, Jonathan

PY - 2010

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AB - It is well known that ventilation strategies for newborn infants may vary significantly between individual doctors. The aim of this study was to elicit knowledge of ventilation management to provide a baseline for evaluating the performance of an expert system for neonatal ventilation (FLORENCE).

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