-
1
-
-
79960609227
-
Predicting flu trends using twitter data
-
H. Achrekar, A. Gandhe, R. Lazarus, S.-H. Yu, and B. Liu. Predicting flu trends using twitter data. In Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on, 2011.
-
(2011)
Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference On
-
-
Achrekar, H.1
Gandhe, A.2
Lazarus, R.3
Yu, S.-H.4
Liu, B.5
-
2
-
-
80053290412
-
Twitter catches the flu: Detecting influenza epidemics using twitter
-
Stroudsburg, PA, USA Association for Computational Linguistics
-
E. Aramaki, S. Maskawa, and M. Morita. Twitter catches the flu: Detecting influenza epidemics using twitter. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '11, pages 1568-1576, Stroudsburg, PA, USA, 2011. Association for Computational Linguistics.
-
(2011)
Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '11
, pp. 1568-1576
-
-
Aramaki, E.1
Maskawa, S.2
Morita, M.3
-
3
-
-
78649842272
-
Predicting the future with social media
-
Washington, DC, USA IEEE Computer Society
-
S. Asur and B. A. Huberman. Predicting the future with social media. In Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01, WI-IAT '10, pages 492-499, Washington, DC, USA, 2010. IEEE Computer Society.
-
(2010)
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01, WI-IAT '10
, pp. 492-499
-
-
Asur, S.1
Huberman, B.A.2
-
6
-
-
79953102821
-
Twitter mood predicts the stock market
-
J. Bollen, H. Mao, and X. Zeng. Twitter mood predicts the stock market. Journal of Computational Science, 2(1):1-8, 2011.
-
(2011)
Journal of Computational Science
, vol.2
, Issue.1
, pp. 1-8
-
-
Bollen, J.1
Mao, H.2
Zeng, X.3
-
7
-
-
84924813547
-
Forecasting a moving target: Ensemble models for ili case count predictions
-
J. C.
-
P. Chakraborty, P. Khadivi, B. Lewis, A. Mahendiran, J. Chen, P. Chakraborty, P. Khadivi, B. Lewis, A. Mahendiran, and J. C. and. Forecasting a moving target: Ensemble models for ili case count predictions. In SDM, 2014.
-
(2014)
SDM
-
-
Chakraborty, P.1
Khadivi, P.2
Lewis, B.3
Mahendiran, A.4
Chen, J.5
Chakraborty, P.6
Khadivi, P.7
Lewis, B.8
Mahendiran, A.9
-
8
-
-
77954989376
-
Vision: Towards real time epidemic vigilance through online social networks: Introducing sneft - Social network enabled flu trends
-
New York, NY, USA ACM
-
L. Chen, H. Achrekar, B. Liu, and R. Lazarus. Vision: Towards real time epidemic vigilance through online social networks: Introducing sneft - social network enabled flu trends. In Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond, MCS '10, pages 4:1-4:5, New York, NY, USA, 2010. ACM.
-
(2010)
Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond, MCS '10
, pp. 41-45
-
-
Chen, L.1
Achrekar, H.2
Liu, B.3
Lazarus, R.4
-
9
-
-
78649725192
-
Pandemics in the age of twitter: Content analysis of tweets during the 2009 h1n1 outbreak
-
11
-
C. Chew and G. Eysenbach. Pandemics in the age of twitter: Content analysis of tweets during the 2009 h1n1 outbreak. PLoS ONE, 5(11):e14118, 11 2010.
-
(2010)
PLoS ONE
, vol.5
, Issue.11
-
-
Chew, C.1
Eysenbach, G.2
-
10
-
-
84861181328
-
Social media evolution of the Egyptian revolution
-
May
-
A. Choudhary, W. Hendrix, K. Lee, D. Palsetia, and W.-K. Liao. Social media evolution of the egyptian revolution. Commun. ACM, 55(5):74-80, May 2012.
-
(2012)
Commun. ACM
, vol.55
, Issue.5
, pp. 74-80
-
-
Choudhary, A.1
Hendrix, W.2
Lee, K.3
Palsetia, D.4
Liao, W.-K.5
-
11
-
-
84904263899
-
Development and validation of a 5-day-ahead hay fever forecast for patients with grass-pollen-induced allergic rhinitis
-
L. de Weger, T. Beerthuizen, P. Hiemstra, and J. Sont. Development and validation of a 5-day-ahead hay fever forecast for patients with grass-pollen-induced allergic rhinitis. International Journal of Biometeorology, 58(6):1047-1055, 2014.
-
(2014)
International Journal of Biometeorology
, vol.58
, Issue.6
, pp. 1047-1055
-
-
De Weger, L.1
Beerthuizen, T.2
Hiemstra, P.3
Sont, J.4
-
12
-
-
0031284782
-
-
J. Emberlin, J. Mullins, J. Corden, W. Millington, M. Brooke, M. Savage, and S. Jones. The trend to earlier birch pollen seasons in the uk: a biotic response to changes in weather conditions? Grana, 36(1):29-33, 1997.
-
(1997)
The Trend to Earlier Birch Pollen Seasons in the UK: A Biotic Response to Changes in Weather Conditions? Grana
, vol.36
, Issue.1
, pp. 29-33
-
-
Emberlin, J.1
Mullins, J.2
Corden, J.3
Millington, W.4
Brooke, M.5
Savage, M.6
Jones, S.7
-
13
-
-
16544375294
-
Telephone triage: A timely data source for surveillance of influenza-like diseases
-
American Medical Informatics Association
-
J. U. Espino, W. R. Hogan, and M. M. Wagner. Telephone triage: a timely data source for surveillance of influenza-like diseases. In AMIA Annual Symposium Proceedings, volume 2003, page 215. American Medical Informatics Association, 2003.
-
(2003)
AMIA Annual Symposium Proceedings
, vol.2003
, pp. 215
-
-
Espino, J.U.1
Hogan, W.R.2
Wagner, M.M.3
-
14
-
-
60549098239
-
Detecting influenza epidemics using search engine query data
-
J. Ginsberg, M. Mohebbi, R. Patel, L. Brammer, M. Smolinski, and L. Brilliant. Detecting influenza epidemics using search engine query data. Nature, 457:1012-1014, 2009. doi:10.1038/nature07634.
-
(2009)
Nature
, vol.457
, pp. 1012-1014
-
-
Ginsberg, J.1
Mohebbi, M.2
Patel, R.3
Brammer, L.4
Smolinski, M.5
Brilliant, L.6
-
15
-
-
76749092270
-
The weka data mining software: An update
-
Nov.
-
M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten. The weka data mining software: An update. SIGKDD Explor. Newsl., 11(1):10-18, Nov. 2009.
-
(2009)
SIGKDD Explor. Newsl.
, vol.11
, Issue.1
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
17
-
-
85016706295
-
Real-time disease surveillance using twitter data: Demonstration on flu and cancer
-
New York, NY, USA ACM
-
K. Lee, A. Agrawal, and A. Choudhary. Real-time disease surveillance using twitter data: Demonstration on flu and cancer. In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '13, pages 1474-1477, New York, NY, USA, 2013. ACM.
-
(2013)
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '13
, pp. 1474-1477
-
-
Lee, K.1
Agrawal, A.2
Choudhary, A.3
-
18
-
-
84863157333
-
Twitter trending topic classification
-
IEEE
-
K. Lee, D. Palsetia, R. Narayanan, M. M. A. Patwary, A. Agrawal, and A. Choudhary. Twitter trending topic classification. In Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, pages 251-258. IEEE, 2011.
-
(2011)
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference On
, pp. 251-258
-
-
Lee, K.1
Palsetia, D.2
Narayanan, R.3
Patwary, M.M.A.4
Agrawal, A.5
Choudhary, A.6
-
20
-
-
0242668659
-
Evaluation of over-the-counter pharmaceutical sales as a possible early warning indicator of human disease
-
S. Magruder. Evaluation of over-the-counter pharmaceutical sales as a possible early warning indicator of human disease. Johns Hopkins APL technical digest, 24(4):349-53, 2003.
-
(2003)
Johns Hopkins APL Technical Digest
, vol.24
, Issue.4
, pp. 349-353
-
-
Magruder, S.1
-
21
-
-
34548080780
-
-
Cambridge University Press, New York, NY, USA
-
C. D. Manning, P. Raghavan, and H. Schtze. Introduction to Information Retrieval. Cambridge University Press, New York, NY, USA, 2008.
-
(2008)
Introduction to Information Retrieval
-
-
Manning, C.D.1
Raghavan, P.2
Schtze, H.3
-
23
-
-
85085133306
-
You are what you tweet: Analyzing twitter for public health
-
The AAAI Press
-
M. J. Paul and M. Dredze. You are what you tweet: Analyzing twitter for public health. In ICWSM. The AAAI Press, 2011.
-
(2011)
ICWSM
-
-
Paul, M.J.1
Dredze, M.2
-
26
-
-
84890239936
-
Real-time influenza forecasts during the 2012-2013 season
-
Dec.
-
J. Shaman, A. Karspeck, W. Yang, J. Tamerius, and M. Lipsitch. Real-time influenza forecasts during the 2012-2013 season. Nature Communications, 4, Dec. 2013.
-
(2013)
Nature Communications
, vol.4
-
-
Shaman, J.1
Karspeck, A.2
Yang, W.3
Tamerius, J.4
Lipsitch, M.5
-
27
-
-
79955757514
-
The use of twitter to track levels of disease activity and public concern in the U.S. during the influenza a h1n1 pandemic
-
05
-
A. Signorini, A. M. Segre, and P. M. Polgreen. The use of twitter to track levels of disease activity and public concern in the u.s. during the influenza a h1n1 pandemic. PLoS ONE, 6(5):e19467, 05 2011.
-
(2011)
PLoS ONE
, vol.6
, Issue.5
-
-
Signorini, A.1
Segre, A.M.2
Polgreen, P.M.3
-
28
-
-
84864060858
-
A real-time architecture for detection of diseases using social networks: Design, implementation and evaluation
-
New York, NY, USA ACM
-
M. Sofean and M. Smith. A real-time architecture for detection of diseases using social networks: Design, implementation and evaluation. In Proceedings of the 23rd ACM Conference on Hypertext and Social Media, HT '12, pages 309-310, New York, NY, USA, 2012. ACM.
-
(2012)
Proceedings of the 23rd ACM Conference on Hypertext and Social Media, HT '12
, pp. 309-310
-
-
Sofean, M.1
Smith, M.2
-
29
-
-
84889601386
-
Discovering health-related knowledge in social media using ensembles of heterogeneous features
-
New York, NY, USA ACM
-
S. Tuarob, C. S. Tucker, M. Salathe, and N. Ram. Discovering health-related knowledge in social media using ensembles of heterogeneous features. In Proceedings of the 22Nd ACM International Conference on Conference on Information & Knowledge Management, CIKM '13, pages 1685-1690, New York, NY, USA, 2013. ACM.
-
(2013)
Proceedings of the 22Nd ACM International Conference on Conference on Information & Knowledge Management, CIKM '13
, pp. 1685-1690
-
-
Tuarob, S.1
Tucker, C.S.2
Salathe, M.3
Ram, N.4
-
30
-
-
84957598077
-
Correlation between atmospheric tree pollen levels with three weather variables during 2002-2004 in a tropical urban area
-
M. Wilson, S. Villalba, H. Avila, J. Hahn, and A. Cepeda. Correlation between atmospheric tree pollen levels with three weather variables during 2002-2004 in a tropical urban area. Journal of Allergy and Clinical Immunology, 127(2): AB170, 2011.
-
(2011)
Journal of Allergy and Clinical Immunology
, vol.127
, Issue.2
-
-
Wilson, M.1
Villalba, S.2
Avila, H.3
Hahn, J.4
Cepeda, A.5
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