%0 Conference Paper %1 Schleicher-et-al-2022c %A Schleicher, M. %A Pryss, R. %A Schobel, J. %A Schlee, W. %A Spiliopoulou, M. %B 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) %D 2022 %K affiliation:ikeb author:pryssr %P 1-10 %R 10.1109/DSAA54385.2022.10032390 %T Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users

@inproceedings{Schleicher-et-al-2022c, added-at = {2023-06-09T15:04:10.000+0200}, author = {Schleicher, M. and Pryss, R. and Schobel, J. and Schlee, W. and Spiliopoulou, M.}, biburl = {https://www.bibsonomy.org/bibtex/2cfa81eac43f2729861c3520c002cf861/nuernbergerc}, booktitle = {2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)}, doi = {10.1109/DSAA54385.2022.10032390}, interhash = {3bf81cffb38a41c8c8199458e546521e}, intrahash = {cfa81eac43f2729861c3520c002cf861}, keywords = {affiliation:ikeb author:pryssr}, pages = {1-10}, timestamp = {2023-06-09T15:04:10.000+0200}, title = {Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users}, type = {Conference Proceedings}, year = 2022 }