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Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients
OBJECTIVES: We propose a bottom-up, machine-learning approach, for the objective vestibular and balance diagnostic data of concussion patients, to provide insight into the differences in patients’ phenotypes, independent of existing diagnoses (unsupervised learning). METHODS: Diagnostic data from a...
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| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6445465/ https://ncbi.nlm.nih.gov/pubmed/30939164 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0214525 |
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