Home ›
Entities
› academia
› The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach
The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach
Research article (Neurological Sciences, 2019) · cited 36× · AI/ML
The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach
Summary
The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach is a scholarly article[1].
Key Facts
The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach'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). The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-hidden-information-in-patient-reported-outcomes-and-clinician-assessed-outcomes-multiple-sclerosis-as-a-proof-of-con
MLA“The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-hidden-information-in-patient-reported-outcomes-and-clinician-assessed-outcomes-multiple-sclerosis-as-a-proof-of-con.
BibTeX@misc{4ortxyz_the-hidden-information-in-patient-reported-outcomes-and-clinician-assessed-outcomes-multiple-sclerosis-as-a-proof-of-con_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/the-hidden-information-in-patient-reported-outcomes-and-clinician-assessed-outcomes-multiple-sclerosis-as-a-proof-of-con}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach — https://4ort.xyz/entity/the-hidden-information-in-patient-reported-outcomes-and-clinician-assessed-outcomes-multiple-sclerosis-as-a-proof-of-con (retrieved 2026-05-24)
