Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches

Conclusions: We conclude that for some applications, nomothetic models may be useful for yielding higher initial performance while still surfacing personalized predictors of stress, before switching to ideographic models upon sufficient data collection.

Source: Journal of Medical Internet Research - April 25, 2019 Category: General Medicine Authors: Alan Rozet Ian M Kronish Joseph E Schwartz Karina W Davidson Source Type: research