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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-03-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-84860-z |