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. Author manuscript; available in PMC: 2022 Feb 1.
Published in final edited form as: Exp Neurol. 2020 Nov 4;336:113526. doi: 10.1016/j.expneurol.2020.113526

Figure 2.

Figure 2.

Shematic picture of the conceptual model for algorithm-based prediction and digital health. Integration of routinely collectible data provides informative data about diverse domains relevant to the acute care setting encompassing behavior and emotion through digital phenotyping, markers of stress biology obtained from diagnostic blood draws in the ED and contextual information about the index event as well as the ED environment. Togehter, the integration of multiple sources of information yields promise to unlock the potential of precision psychiatry for improving risk stratification and individualized treatment selection.