Background: Current clinical decision support systems (DSS) are trained and validated on observational data from the clinic in which the DSS is going to be applied. This is problematic for treatments that have already been validated in a randomized clinical trial (RCT), but have not yet been introduced in any clinic. In this work, we report on a method for training and validating the DSS core before introduction to a clinic, using the RCT data themselves.
View Article and Find Full Text PDFObjectives: Hearing aids (HAs) are a widely accepted first-line treatment option for individuals suffering from both hearing loss and chronic tinnitus. Though HAs are highly effective at improving speech understanding, their effectiveness in ameliorating tinnitus symptoms is less clear. In recent years, several investigators have reported on attempts to predict HAs effectiveness on tinnitus symptoms using an array of variables.
View Article and Find Full Text PDF