Gaining Insights into Epidemics by Mining Historical Newspapers

A collaborative project combines innovative algorithmic techniques with traditional textual analysis of newspapers to learn more about past health events, guiding preparedness for future crises.

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Bibliographische Detailangaben
Veröffentlicht in:	Computer (Long Beach, Calif.) Calif.), 2013-06, Vol.46 (6), p.68-72
Hauptverfasser:	Ewing, E. Thomas, Gad, Samah, Ramakrishnan, Naren
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial intelligence Cities and towns Collaboration Computer science control theory systems Data handling data mining Data processing. List processing. Character string processing Data storage systems discovery analytics Diseases epidemiology Exact sciences and technology History Information management Innovations Memory organisation. Data processing network analysis Software Spanish flu pandemic Speech and sound recognition and synthesis. Linguistics
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Beschreibung
Zusammenfassung:	A collaborative project combines innovative algorithmic techniques with traditional textual analysis of newspapers to learn more about past health events, guiding preparedness for future crises.
ISSN:	0018-9162 1558-0814
DOI:	10.1109/MC.2013.205