Using machine learning algorithms to enhance the diagnostic performance of electrical impedance myography.
Introduction/aims: We assessed the classification performance of machine learning (ML) using multifrequency electrical impedance myography (EIM) values to improve upon diagnostic outcomes as compared to those based on a single EIM value.Methods: EIM data was obtained from unilateral excised gastrocn...
| Publicado en: | Muscle & Nerve Vol. 66; no. 3; pp. 354 - 362 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
Sep2022
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| Acceso en línea: | Ver este registro en EBSCOhost |