| Autor: |
De Silva U; Department of Computer Science and Software Engineering, AUT, New Zealand., Madanian S; Department of Computer Science and Software Engineering, AUT, New Zealand., Templeton JM; Florida International University, Miami, FL 33199, USA., Poellabauer C; Florida International University, Miami, FL 33199, USA., Schneider SL; Saint Mary's College, Notre Dame, IN 46556, USA., Parry D; School of IT, Murdoch University, Australia. |
| Abstrakt: |
Mental health (MH) has become a global issue. Digital phenotyping in mental healthcare provides a highly effective, scaled, cost-effective approach to handling global MH problems. We propose an MH monitoring application. The application monitors overall MH based on mood, stress, behavior, and personality. Further, it proposes objective MH assessment from smartphone data and subjective screening of MH via periodic, short, self-report standardized questionnaires. |
