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 diseases, with studies using molecular information, age of disease incidence, and sequences of disease onset (“disease trajectories”) to classify disease clusters....
Paper Details
Title
Characterisation, identification, clustering, and classification of disease
Published Date
Mar 8, 2021
Journal
Volume
11
Issue
1
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Notes
History