Characterisation, identification, clustering, and classification of disease
Abstract The importance of quantifying the distribution and determinants of multimorbidity has prompted novel data-driven classifications of disease. Applications have included improved statistical power and refined prognoses for a range of respiratory, infectious, autoimmune, and neurological disea...
Guardado en:
Autores principales: | A. J. Webster, K. Gaitskell, I. Turnbull, B. J. Cairns, R. Clarke |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/23dddf77bfbd46098aa99463ae48cafd |
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