A statistical dynamics approach to the study of human health data: resolving population scale diurnal variation in laboratory data.
Phys Lett A
; 374(9): 1159-1164, 2010 Feb 15.
Article
em En
| MEDLINE
| ID: mdl-20544004
ABSTRACT
Statistical physics and information theory is applied to the clinical chemistry measurements present in a patient database containing 2.5 million patients' data over a 20-year period. Despite the seemingly naive approach of aggregating all patients over all times (with respect to particular clinical chemistry measurements), both a diurnal signal in the decay of the time-delayed mutual information and the presence of two sub-populations with differing health are detected. This provides a proof in principle that the highly fragmented data in electronic health records has potential for being useful in defining disease and human phenotypes.
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MEDLINE
Idioma:
En
Revista:
Phys Lett A
Ano de publicação:
2010
Tipo de documento:
Article