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Bruce R Schatz

Additional Campus Affiliations

Professor, University Library

Recent Publications

Zhou, H., Zhu, R., Ung, A., & Schatz, B. (2022). Population analysis of mortality risk: Predictive models from passive monitors using motion sensors for 100,000 UK Biobank participants. PLOS Digital Health, 1(10), Article e0000045. https://doi.org/10.1371/journal.pdig.0000045

Hua, A., Chaudhari, P., Johnson, N., Quinton, J., Schatz, B., Buchner, D. M., & 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. Article 9108597. https://doi.org/10.1109/JBHI.2020.2999902

Hua, A., Quicksall, Z., Di, C., Motl, R., Lacroix, A. Z., Schatz, B., & Buchner, D. M. (2018). Accelerometer-based predictive models of fall risk in older women: a pilot study. npj Digital Medicine, 1(1), Article 25. https://doi.org/10.1038/s41746-018-0033-5

R. Schatz, B. (2018). Population measurement for health systems. npj Digital Medicine, 1(1), Article 20174. https://doi.org/10.1038/s41746-017-0004-2

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

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