Home ›
Entities
› academia
› Wearable sensor devices can automatically identify the ON-OFF status of patients with Parkinson's disease through an interpretable machine learning model
Wearable sensor devices can automatically identify the ON-OFF status of patients with Parkinson's disease through an interpretable machine learning model
Research article (Frontiers in Neurology, 2024) · cited 16× · AI/ML
Wearable sensor devices can automatically identify the ON-OFF status of patients with Parkinson's disease through an interpretable machine learning model
Summary
Wearable sensor devices can automatically identify the ON-OFF status of patients with Parkinson's disease through an interpretable machine learning model is a scholarly article[1].
Key Facts
Wearable sensor devices can automatically identify the ON-OFF status of patients with Parkinson's disease through an interpretable machine learning model's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Wearable sensor devices can automatically identify the ON-OFF status of patients with Parkinson's disease through an interpretable machine learning model. Retrieved May 24, 2026, from https://4ort.xyz/entity/wearable-sensor-devices-can-automatically-identify-the-on-off-status-of-patients-with-parkinson-s-disease-through-an-int
MLA“Wearable sensor devices can automatically identify the ON-OFF status of patients with Parkinson's disease through an interpretable machine learning model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/wearable-sensor-devices-can-automatically-identify-the-on-off-status-of-patients-with-parkinson-s-disease-through-an-int.
BibTeX@misc{4ortxyz_wearable-sensor-devices-can-automatically-identify-the-on-off-status-of-patients-with-parkinson-s-disease-through-an-int_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Wearable sensor devices can automatically identify the ON-OFF status of patients with Parkinson's disease through an interpretable machine learning model}}, year = {2026}, url = {https://4ort.xyz/entity/wearable-sensor-devices-can-automatically-identify-the-on-off-status-of-patients-with-parkinson-s-disease-through-an-int}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Wearable sensor devices can automatically identify the ON-OFF status of patients with Parkinson's disease through an interpretable machine learning model — https://4ort.xyz/entity/wearable-sensor-devices-can-automatically-identify-the-on-off-status-of-patients-with-parkinson-s-disease-through-an-int (retrieved 2026-05-24)
