Ontology highlight
ABSTRACT:
SUBMITTER: Alhasoun F
PROVIDER: S-EPMC6037375 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
Alhasoun Fahad F Aleissa Faisal F Alhazzani May M Moyano Luis G LG Pinhanez Claudio C González Marta C MC
PLoS computational biology 20180626 6
This paper presents a data analysis framework to uncover relationships between health conditions, age and sex for a large population of patients. We study a massive heterogeneous sample of 1.7 million patients in Brazil, containing 47 million of health records with detailed medical conditions for visits to medical facilities for a period of 17 months. The findings suggest that medical conditions can be grouped into clusters that share very distinctive densities in the ages of the patients. For e ...[more]