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Applying Machine Learning on the Daily Life Data of the TrackYourTinnitus mHealth Crowdsensing Platform Predicts the Mobile Operating System with High Accuracy

R. Pryss, W. Schlee, B. Hoppenstedt, M. Reichert, M. Spiliopoulou, B. Langguth, and T. Probst. (2019)

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%0 Journal Article
%1 pryss2019applying
%A Pryss, Rüdiger
%A Schlee, Winfried
%A Hoppenstedt, Burkhard
%A Reichert, Manfred
%A Spiliopoulou, Myra
%A Langguth, Berthold
%A Probst, Thomas
%D 2019
%K kmd medical_mining tinnitus
%T Applying Machine Learning on the
Daily Life Data of the TrackYourTinnitus mHealth Crowdsensing Platform
Predicts the Mobile Operating System with High Accuracy

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Applying Machine Learning on the Daily Life Data of the TrackYourTinnitus mHealth Crowdsensing Platform Predicts the Mobile Operating System with High Accuracy

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