Predicting clinical outcomes for newborns using two artificial intelligence approaches

M. Frize*, D. Ibrahim, H. Seker, R. C. Walker, M. O. Odetayo, D. Petrovic, R. N.G. Naguib

*Corresponding author for this work

    Research output: Contribution to journalConference articlepeer-review

    12 Citations (SciVal)
    Original languageEnglish
    Pages (from-to)3202-3205
    Number of pages4
    JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    Volume26 V
    Publication statusPublished (VoR) - 2004
    EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
    Duration: 1 Sept 20045 Sept 2004

    Keywords

    • Fuzzy logic
    • Fuzzy pattern classifiers
    • K-nearest neighbour algorithm
    • Neural Networks
    • Perinatal outcomes

    Fingerprint

    Dive into the research topics of 'Predicting clinical outcomes for newborns using two artificial intelligence approaches'. Together they form a unique fingerprint.

    Cite this