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Functional brain networks and neuroanatomy underpinning nausea severity can predict nausea susceptibility using machine learning
KEY POINTS: Nausea is an adverse experience characterised by alterations in autonomic and cerebral function. Susceptibility to nausea is difficult to predict, but machine learning has yet to be applied to this field of study. The severity of nausea that individuals experience is related to the under...
Sparad:
| I publikationen: | J Physiol |
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| Huvudupphovsmän: | , , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
John Wiley and Sons Inc.
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6418775/ https://ncbi.nlm.nih.gov/pubmed/30629751 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1113/JP277474 |
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