%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

@article{pryss2019applying, added-at = {2019-05-31T14:10:39.000+0200}, author = {Pryss, Rüdiger and Schlee, Winfried and Hoppenstedt, Burkhard and Reichert, Manfred and Spiliopoulou, Myra and Langguth, Berthold and Probst, Thomas}, biburl = {https://www.bibsonomy.org/bibtex/20c398f8801b7433767332ce04b7fa70d/kmd-ovgu}, interhash = {ed1dd943098d96c8e3cac702b169d271}, intrahash = {0c398f8801b7433767332ce04b7fa70d}, keywords = {kmd medical_mining tinnitus}, timestamp = {2019-05-31T14:10:39.000+0200}, title = {Applying Machine Learning on the Daily Life Data of the TrackYourTinnitus mHealth Crowdsensing Platform Predicts the Mobile Operating System with High Accuracy}, year = 2019 }