[HTML][HTML] An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

S Tuarob, CS Tucker, M Salathe, N Ram - Journal of biomedical informatics, 2014 - Elsevier
Objectives The role of social media as a source of timely and massive information has
become more apparent since the era of Web 2.0. Multiple studies illustrated the use of …

An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

S Tuarob, CS Tucker, M Salathe… - Journal of biomedical …, 2014 - infoscience.epfl.ch
The role of social media as a source of timely and massive information has become more
apparent since the era of Web 2.0. Multiple studies illustrated the use of information in social …

An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages.

S Tuarob, CS Tucker, M Salathe… - Journal of Biomedical …, 2014 - europepmc.org
Objectives The role of social media as a source of timely and massive information has
become more apparent since the era of Web 2.0. Multiple studies illustrated the use of …

An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

S Tuarob, CS Tucker, M Salathe… - Journal of Biomedical …, 2014 - pure.psu.edu
Objectives: The role of social media as a source of timely and massive information has
become more apparent since the era of Web 2.0. Multiple studies illustrated the use of …

[引用][C] An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

S Tuarob, CS Tucker, M Salathe, N Ram - Journal of Biomedical …, 2014 - cir.nii.ac.jp
An ensemble heterogeneous classification methodology for discovering health-related
knowledge in social media messages | CiNii Research CiNii 国立情報学研究所 学術情報 …

[PDF][PDF] An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

S Tuarob, CS Tucker, M Salathe… - Journal of Biomedical …, 2014 - researchgate.net
abstract Objectives: The role of social media as a source of timely and massive information
has become more apparent since the era of Web 2.0. Multiple studies illustrated the use of …

An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

S Tuarob, CS Tucker, M Salathe… - Journal of Biomedical …, 2014 - mahidol.elsevierpure.com
Objectives: The role of social media as a source of timely and massive information has
become more apparent since the era of Web 2.0. Multiple studies illustrated the use of …

An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

S Tuarob, CS Tucker, M Salathe, N Ram - Journal of Biomedical …, 2014 - infona.pl
The role of social media as a source of timely and massive information has become more
apparent since the era of Web 2.0. Multiple studies illustrated the use of information in social …

An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

S Tuarob, CS Tucker, M Salathe, N Ram - Journal of Biomedical …, 2014 - dl.acm.org
Display Omitted Propose 5 heterogeneous features for identifying health messages in social
media. Propose ensemble methods that allow base classifiers to make collective decisions …

An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

S Tuarob, CS Tucker, M Salathe… - Journal of biomedical …, 2014 - pubmed.ncbi.nlm.nih.gov
Objectives The role of social media as a source of timely and massive information has
become more apparent since the era of Web 2.0. Multiple studies illustrated the use of …