Age density patterns in patients medical conditions: A clustering approach.
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 vi...
Main Authors: | Fahad Alhasoun, Faisal Aleissa, May Alhazzani, Luis G Moyano, Claudio Pinhanez, Marta C González |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-06-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC6037375?pdf=render |
Similar Items
-
Age density patterns in patients medical conditions: A clustering approach
by: Moyano, Luis G., et al.
Published: (2018) -
Understanding and modeling human movement in cities using phone data
by: Alhasoun, Fahad
Published: (2017) -
EDUCAÇÃO E PESQUISA EM CIÊNCIA DE SERVIÇOS NO BRASIL: NECESSIDADE E OPORTUNIDADE
by: Claudio S. Pinhanez
Published: (2009-12-01) -
Street context of various demographic groups in their daily mobility
by: Ariel Salgado, et al.
Published: (2021-06-01) -
Street context of various demographic groups in their daily mobility
by: Salgado, Ariel, et al.
Published: (2021)