This paper is in the following e-collection/theme issue:

Presentations, Abstracts, or Demonstrations (740) Machine Learning (1465) Influenza and Influenza-Like-Illness (ILI) Surveillance (217)

Published on in Vol 5, No 1 (2013):

Detection of Patients with Influenza Syndrome Using Machine-Learning Models Learned from Emergency Department Reports

Detection of Patients with Influenza Syndrome Using Machine-Learning Models Learned from Emergency Department Reports

Detection of Patients with Influenza Syndrome Using Machine-Learning Models Learned from Emergency Department Reports

Authors of this article:

Arturo Lopez Pineda1 ;   Fu-Chiang Tsui1 ;   Shyam Visweswaran1 ;   Gregory F. Cooper1
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Article Authors Cited by (2) Tweetations Metrics

Arturo Lopez Pineda   1 ;   Fu-Chiang Tsui   1 ;   Shyam Visweswaran   1 ;   Gregory F. Cooper   1

1 University of Pittsburgh, Department of Biomedical Informatics

Corresponding Author:

  • Arturo Lopez Pineda
  • University of Pittsburgh, Department of Biomedical Informatics