Age density patterns in patients medical conditions: A clustering approach.
PLoS Comput Biol
; 14(6): e1006115, 2018 06.
Article
em En
| MEDLINE
| ID: mdl-29944648
ABSTRACT
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 each cluster, we further present the ICD-10 chapters within it. Finally, we relate the findings to comorbidity networks, uncovering the relation of the discovered clusters of age densities to comorbidity networks literature.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Análise por Conglomerados
/
Fatores Sexuais
/
Fatores Etários
Limite:
Female
/
Humans
/
Male
País/Região como assunto:
America do sul
/
Brasil
Idioma:
En
Revista:
PLoS Comput Biol
Assunto da revista:
BIOLOGIA
/
INFORMATICA MEDICA
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Estados Unidos