Age density patterns in patients medical conditions: A clustering approach

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...

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Bibliographic Details
Main Authors: Moyano, Luis G. (Author), Alhasoun, Fahad (Contributor), Aleissa, Faisal Saad (Contributor), Alhazzani, May (Contributor), Pinhanez, Claudio S. (Contributor), Gonzalez, Marta C. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor), Massachusetts Institute of Technology. Computation for Design and Optimization Program (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor)
Format: Article
Language:English
Published: Public Library of Science, 2018-11-05T14:56:25Z.
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