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A Digital Phenotypic Assessment in Neuro-Oncology (DANO): A Pilot Study on Sociability Changes in Patients Undergoing Treatment for Brain Malignancies.
Cancers (Basel)
January 2025
Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA 02115, USA.
Background: The digital phenotyping tool has great potential for the deep characterization of neurological and quality-of-life assessments in brain tumor patients. Phone communication activities (details on call and text use) can provide insight into the patients' sociability.
Methods: We prospectively collected digital-phenotyping data from six brain tumor patients.
Inbox message prioritization and management approaches in primary care.
JAMIA Open
December 2024
MedStar Health, Columbia, MD 21044, United States.
Objectives: Patient messaging to clinicians has dramatically increased since the pandemic, leading to informatics efforts to categorize incoming messages. We examined how message prioritization (as distinct from categorization) occurs in primary care, and how primary care clinicians managed their inbox workflows.
Materials And Methods: Semi-structured interviews and inbox work observations with 11 primary care clinicians at MedStar Health.
Embracing a new chapter at Epilepsia Open: A message from the incoming Editor-in-Chief.
Epilepsia Open
October 2024
Epilepsy Center, Lund, Sweden.
Range aware message drop policy for delay tolerant networks.
PeerJ Comput Sci
July 2024
Department of Mathematical Methods in Economics, Faculty of Digital Economy, Tashkent State Economic University, Tashkent, Uzbekistan.
In delay tolerant networks (DTNs) the messages are often not delivered to the destination due to a lack of end-to-end connectivity. In such cases, the messages are stored in the buffer for a long time and are transmitted when the nodes come into the range of each other. The buffer size of each node has a limited capacity, and it cannot accommodate the new incoming message when the buffer memory is full, and as a result network congestion occurs.
View Article and Find Full Text PDFObjective monitoring of loneliness levels using smart devices: A multi-device approach for mental health applications.
PLoS One
June 2024
Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, California, United States of America.
Loneliness is linked to wide ranging physical and mental health problems, including increased rates of mortality. Understanding how loneliness manifests is important for targeted public health treatment and intervention. With advances in mobile sending and wearable technologies, it is possible to collect data on human phenomena in a continuous and uninterrupted way.
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