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A robust and scalable framework for detecting self-reported..:
, In:
2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)
,
Khan, Muhammad Asif Hossain
;
Iwai, Masayuki
;
Sezaki, Kaoru
- p. 303-308 , 2012
Link:
https://doi.org/10.1109/HealthCom.2012.6379425
RT T1
2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)
: T1
A robust and scalable framework for detecting self-reported illness from twitter
UL https://suche.suub.uni-bremen.de/peid=ieee-6379425&Exemplar=1&LAN=DE A1 Khan, Muhammad Asif Hossain A1 Iwai, Masayuki A1 Sezaki, Kaoru YR 2012 K1 Diseases K1 Training K1 Twitter K1 Noise measurement K1 Educational institutions K1 Electronic mail K1 Accuracy K1 Infodemiology K1 Trend analysis K1 Epidemic intelligence K1 Short text classification K1 Collective intelligence SP 303 OP 308 LK http://dx.doi.org/https://doi.org/10.1109/HealthCom.2012.6379425 DO https://doi.org/10.1109/HealthCom.2012.6379425 SF ELIB - SuUB Bremen
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