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Computers in Biology and Medicine|July 3, 2024
Predicting long-term sleep deprivation using wearable sensors and health surveysRafael Trujillo, Enshi Zhang, John Michael Templeton, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Deviations of acoustic low-level descriptors in speech features of a set of triplets, one with autismHasini Yatawatte, Christian Poellabauer, Sandra Schneider, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
The power of dynamic social networks to predict individuals' mental healthShikang Liu, David Hachen, Omar Lizardo, et al.Applied Clinical Informatics|September 23, 2024
A Comprehensive Multifunctional Approach for Measuring Parkinson's Disease SeverityMorteza Rahimi, Zeina Al Masry, John Michael Templeton, et al.Applied Network Science|November 23, 2018
Network analysis of the NetHealth data: exploring co-evolution of individuals' social network positions and physical activitiesShikang Liu, David Hachen, Omar Lizardo, et al.IEEE Journal of Biomedical and Health Informatics|December 4, 2016
Portable mTBI Assessment Using Temporal and Frequency Analysis of SpeechLouis Daudet, Nikhil Yadav, Matthew Perez, et al.Studies in Health Technology and Informatics|January 25, 2024
Mental Health Monitoring: Design Concept of a Smartphone ApplicationUpeka De Silva, Sam Madanian, John Michael Templeton, et al.Scientific Reports|March 11, 2025
A multi-dilated convolution network for speech emotion recognitionSamaneh Madanian, Olayinka Adeleye, John Michael Templeton, et al.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine|June 15, 2026
MADSurv: An Uncertainty-Aware Framework for Multimodal Cancer Survival AnalysisEnshi Zhang, Varun Sai Raigir, Christian Poellabauer, et al.Journal of Medical Internet Research|May 27, 2017
Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home SettingMegan K O'Brien, Nicholas Shawen, Chaithanya K Mummidisetty, et al.Pageof 3