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Detecting the impact of subject characteristics on machine learning-based diagnostic applications
Collection of high-dimensional, longitudinal digital health data has the potential to support a wide-variety of research and clinical applications including diagnostics and longitudinal health tracking. Algorithms that process these data and inform digital diagnostics are typically developed using t...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6789029/ https://www.ncbi.nlm.nih.gov/pubmed/31633058 http://dx.doi.org/10.1038/s41746-019-0178-x |