Additional Campus Affiliations
Professor, Medical Information Science
Head, Medical Information Science
Professor, Carl R. Woese Institute for Genomic Biology
Professor, School of Information Sciences
Professor, Computer Science
Professor, University Library
Recent Publications
Hua, A., Chaudhari, P., Johnson, N., Quinton, J., Schatz, B., Buchner, D., & Hernandez, M. E. (2020). Evaluation of Machine Learning Models for Classifying Upper Extremity Exercises Using Inertial Measurement Unit-Based Kinematic Data. IEEE Journal of Biomedical and Health Informatics, 24(9), 2452-2460. [9108597]. https://doi.org/10.1109/JBHI.2020.2999902
Cheng, Q., Juen, J., Bellam, S., Fulara, N., Close, D., Silverstein, J. C., & Schatz, B. (2017). Predicting Pulmonary Function from Phone Sensors. Telemedicine and e-Health, 23(11), 913-919. https://doi.org/10.1089/tmj.2017.0008
Cheng, Q., Juen, J., Bellam, S., Fulara, N., Close, D., Silverstein, J. C., & Schatz, B. (2016). Classification Models for Pulmonary Function using Motion Analysis from Phone Sensors. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016, 401-410.
Cheng, Q., Shang, J., Juen, J., Han, J., & Schatz, B. (2016). Mining discriminative patterns to predict health status for cardiopulmonary patients. In ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 41-49). (ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics). Association for Computing Machinery, Inc. https://doi.org/10.1145/2975167.2975171
Juen, J., Cheng, Q., & Schatz, B. R. (2015). A Natural Walking Monitor for Pulmonary Patients Using Mobile Phones. IEEE Journal of Biomedical and Health Informatics, 19(4), 1399-1405. [7096915]. https://doi.org/10.1109/JBHI.2015.2427511