Towards a Personalized Multi-Domain Digital Neurophenotyping Model for the Detection and Treatment of Mood Trajectories
Abstract
:1. Introduction
2. Moving Beyond the Individual to a Multi-Domain Neurophenotyping Model
2.1. Individual (Patient)
2.2. Social
2.3. Neural
2.4. Environmental
2.5. Life-Span
3. Challenges and Considerations
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Sela, Y.; Santamaria, L.; Amichai-Hamburge, Y.; Leong, V. Towards a Personalized Multi-Domain Digital Neurophenotyping Model for the Detection and Treatment of Mood Trajectories. Sensors 2020, 20, 5781. https://doi.org/10.3390/s20205781
Sela Y, Santamaria L, Amichai-Hamburge Y, Leong V. Towards a Personalized Multi-Domain Digital Neurophenotyping Model for the Detection and Treatment of Mood Trajectories. Sensors. 2020; 20(20):5781. https://doi.org/10.3390/s20205781
Chicago/Turabian StyleSela, Yaron, Lorena Santamaria, Yair Amichai-Hamburge, and Victoria Leong. 2020. "Towards a Personalized Multi-Domain Digital Neurophenotyping Model for the Detection and Treatment of Mood Trajectories" Sensors 20, no. 20: 5781. https://doi.org/10.3390/s20205781