Performance of LOSO models.

<p>Boxplot of AUC values resulting from the testing, on each site in turn, of models trained on all but one site. Both internal and external performance is shown. Internal performance was higher in 3 sites (internal median 0.93, external median 0.89). In the other two, AUC values displayed a l...

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Bibliographic Details
Main Author:	Ioana Duta (18462981) (author)
Other Authors:	Symon M. Kariuki (10575863) (author), Anthony K. Ngugi (7906343) (author), Angelina Kakooza Mwesige (20714882) (author), Honorati Masanja (102691) (author), Daniel M. Mwanga (20037196) (author), Seth Owusu-Agyei (80063) (author), Ryan Wagner (257632) (author), J Helen Cross (10646762) (author), Josemir W. Sander (10946352) (author), Charles R. Newton (7243856) (author), Arjune Sen (73985) (author), Gabriel Davis Jones (8957774) (author)
Published:	2025
Subjects:	Biotechnology Cancer Hematology na &# 239 machine learning algorithms includes demographic information demonstrated substantial promise saharan african sites iteratively added sites demographic sites dataset clinical variables related active convulsive epilepsy trained using data xlink "> single evaluated model performance xlink "> trained personnel clinical tools sourced data local data predictive model model weights model performances validation analysis settings beyond preliminary screening novel approach limited resources intended deployment increasing number income countries generally worse external performance epilepsy live diagnostic process cultural context broader implementation aid screening 05 ).
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Performance of LOSO models.

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