Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics

Research article (Pervasive and Mobile Computing, 2022) · cited 23× · AI/ML
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Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics

Summary

Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics is a scholarly article[1].

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  • Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-clinically-relevant-changes-in-bipolar-disorder-outside-the-clinic-walls-based-on-pervasive-technology-intera
MLA “Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-clinically-relevant-changes-in-bipolar-disorder-outside-the-clinic-walls-based-on-pervasive-technology-intera.
BibTeX @misc{4ortxyz_predicting-clinically-relevant-changes-in-bipolar-disorder-outside-the-clinic-walls-based-on-pervasive-technology-intera_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-clinically-relevant-changes-in-bipolar-disorder-outside-the-clinic-walls-based-on-pervasive-technology-intera}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics — https://4ort.xyz/entity/predicting-clinically-relevant-changes-in-bipolar-disorder-outside-the-clinic-walls-based-on-pervasive-technology-intera (retrieved 2026-05-24)

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