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Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches
Research article (Journal of Medical Internet Research, 2019) · cited 28× · AI/ML
Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches
Summary
Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches is a scholarly article[1].
Key Facts
Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-machine-learning-to-derive-just-in-time-and-personalized-predictors-of-stress-observational-study-bridging-the-gap
MLA“Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-machine-learning-to-derive-just-in-time-and-personalized-predictors-of-stress-observational-study-bridging-the-gap.
BibTeX@misc{4ortxyz_using-machine-learning-to-derive-just-in-time-and-personalized-predictors-of-stress-observational-study-bridging-the-gap_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches}}, year = {2026}, url = {https://4ort.xyz/entity/using-machine-learning-to-derive-just-in-time-and-personalized-predictors-of-stress-observational-study-bridging-the-gap}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches — https://4ort.xyz/entity/using-machine-learning-to-derive-just-in-time-and-personalized-predictors-of-stress-observational-study-bridging-the-gap (retrieved 2026-05-24)
