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Identifying patient-specific behaviors to understand illness trajectories and predict relapses in bipolar disorder using passive sensing and deep anomaly detection: protocol for a contactless cohort study
Research article (BMC Psychiatry, 2022) · cited 20× · AI/ML
Identifying patient-specific behaviors to understand illness trajectories and predict relapses in bipolar disorder using passive sensing and deep anomaly detection: protocol for a contactless cohort study
Summary
Identifying patient-specific behaviors to understand illness trajectories and predict relapses in bipolar disorder using passive sensing and deep anomaly detection: protocol for a contactless cohort study is a scholarly article[1].
Key Facts
Identifying patient-specific behaviors to understand illness trajectories and predict relapses in bipolar disorder using passive sensing and deep anomaly detection: protocol for a contactless cohort study's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Identifying patient-specific behaviors to understand illness trajectories and predict relapses in bipolar disorder using passive sensing and deep anomaly detection: protocol for a contactless cohort study. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-patient-specific-behaviors-to-understand-illness-trajectories-and-predict-relapses-in-bipolar-disorder-using
MLA“Identifying patient-specific behaviors to understand illness trajectories and predict relapses in bipolar disorder using passive sensing and deep anomaly detection: protocol for a contactless cohort study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-patient-specific-behaviors-to-understand-illness-trajectories-and-predict-relapses-in-bipolar-disorder-using.
BibTeX@misc{4ortxyz_identifying-patient-specific-behaviors-to-understand-illness-trajectories-and-predict-relapses-in-bipolar-disorder-using_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying patient-specific behaviors to understand illness trajectories and predict relapses in bipolar disorder using passive sensing and deep anomaly detection: protocol for a contactless cohort study}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-patient-specific-behaviors-to-understand-illness-trajectories-and-predict-relapses-in-bipolar-disorder-using}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying patient-specific behaviors to understand illness trajectories and predict relapses in bipolar disorder using passive sensing and deep anomaly detection: protocol for a contactless cohort study — https://4ort.xyz/entity/identifying-patient-specific-behaviors-to-understand-illness-trajectories-and-predict-relapses-in-bipolar-disorder-using (retrieved 2026-05-24)
