Showing results (161-170 of 2,096) with videos related to

Sort By:
Pageof 210
Frontiers in Digital Health|October 29, 2021
Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian RhythmsMatthew R Lujan, Ignacio Perez-Pozuelo, Michael A Grandner
Frontiers in Digital Health|October 29, 2021
Using Machine Learning and the National Health and Nutrition Examination Survey to Classify Individuals With Hearing LossGregory M Ellis, Pamela E Souza
Frontiers in Digital Health|October 29, 2021
User-Operated Audiometry Project (UAud) - Introducing an Automated User-Operated System for Audiometric Testing Into Everyday Clinic PracticeChristos Sidiras, Raul Sanchez-Lopez, Ellen Raben Pedersen, et al.
Frontiers in Digital Health|October 29, 2021
The Sociotechnical Ethics of Digital Health: A Critique and Extension of Approaches From BioethicsJames A Shaw, Joseph Donia
Frontiers in Digital Health|October 29, 2021
Bonding With Bot: User Feedback on a Chatbot for Social IsolationGilly Dosovitsky, Eduardo L Bunge
Frontiers in Digital Health|October 29, 2021
Connected Hearing Devices and Audiologists: The User-Centered Development of Digital Service InnovationsMarie Luengen, Christopher Garrelfs, Kamil Adiloǧlu, et al.
Frontiers in Digital Health|March 7, 2022
Investigation of the Utility of Features in a Clinical De-identification Model: A Demonstration Using EHR Pathology Reports for Advanced NSCLC PatientsTanmoy Paul, Md Kamruz Zaman Rana, Preethi Aishwarya Tautam, et al.
Frontiers in Digital Health|March 7, 2022
Clinical- and Cost Effectiveness of a Guided Internet-Based Intervention for Children (12-18 Years) of Parents With Mental Disorders (iCHIMPS): Study Protocol of a Multicentered Cluster-Randomized Controlled TrialPatrick Dülsen, Katja Barck, Anne Daubmann, et al.
Frontiers in Digital Health|March 31, 2022
Passive Way of Measuring QOL/Well-Being Levels Using Smartphone LogWenhao Yao, Kohei Kaminishi, Naoki Yamamoto, et al.
Frontiers in Digital Health|April 1, 2022
The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of SeasonalityDamien K Ming, Nguyen M Tuan, Bernard Hernandez, et al.
Pageof 210