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category seizure measure discrimination algorithm detection model value c-statistic polytomou scenario segment approach outcome index patient prediction category i spike 0.25 signal activity distribution van calster number performance polytomous discrimination index analysis tumor result train probability cancer 7.9 calster 0.017 example correlation score autocorrelation dataset oscillatory pair approaches wiley sensitivity seizure detection algorithm k cases outcome categories copyright 2610–2626 prevalence pairwise application polytomous discrimination 0.5 prediction models fication level background identi fied prediction model dif ficult table roc curve autocorrelation function event curve observer leuven 0.75 category-speci fic pdis pevent senst pair approach oscillatory activity neurophysiology pairwise c-statistics discrimination performance fidence intervals medicine
2 Most Recent Publications
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Extending the c-statistic to nominal polytomous outcomes: The Polytomous Discrimination Index
(Article)
Calster, B. van Belle, V. van Vergouwe, Y. Timmerman, D. Huffel, S. van Steyerberg, E.W. |
2012-10-15
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Automated neonatal seizure detection mimicking a human observer reading EEG
(Article)
Deburchgraeve, W. Cherian, P.J. Vos, M. de Swarte, R.M.C. Blok, J.H. Visser, G.H. Govaert, P. Huffel, S. van |
2008-11-01
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