Home › Entities › academia › Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study

Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study

Research article (Journal of Medical Internet Research, 2020) · cited 22× · AI/ML
academia openalex:W3007440836
Press Enter · cited answer in seconds

Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study

Summary

Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study is a scholarly article[1].

Key Facts

  • Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/applying-machine-learning-to-daily-life-data-from-the-trackyourtinnitus-mobile-health-crowdsensing-platform-to-predict-t
MLA “Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/applying-machine-learning-to-daily-life-data-from-the-trackyourtinnitus-mobile-health-crowdsensing-platform-to-predict-t.
BibTeX @misc{4ortxyz_applying-machine-learning-to-daily-life-data-from-the-trackyourtinnitus-mobile-health-crowdsensing-platform-to-predict-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study}}, year = {2026}, url = {https://4ort.xyz/entity/applying-machine-learning-to-daily-life-data-from-the-trackyourtinnitus-mobile-health-crowdsensing-platform-to-predict-t}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study — https://4ort.xyz/entity/applying-machine-learning-to-daily-life-data-from-the-trackyourtinnitus-mobile-health-crowdsensing-platform-to-predict-t (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/applying-machine-learning-to-daily-life-data-from-the-trackyourtinnitus-mobile-health-crowdsensing-platform-to-predict-t · Last refreshed: