{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T05:37:11Z","timestamp":1774330631800,"version":"3.50.1"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319949673","type":"print"},{"value":"9783319949680","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-94968-0_25","type":"book-chapter","created":{"date-parts":[[2018,7,12]],"date-time":"2018-07-12T14:13:51Z","timestamp":1531404831000},"page":"259-264","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["LSTM Recurrent Neural Networks for Influenza Trends Prediction"],"prefix":"10.1007","author":[{"given":"Liyuan","family":"Liu","sequence":"first","affiliation":[]},{"given":"Meng","family":"Han","sequence":"additional","affiliation":[]},{"given":"Yiyun","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,7,13]]},"reference":[{"issue":"11","key":"25_CR1","doi-asserted-by":"publisher","first-page":"5429","DOI":"10.1128\/JVI.01680-06","volume":"81","author":"E Lofgren","year":"2007","unstructured":"Lofgren, E., Fefferman, N.H., Naumov, Y.N., Gorski, J., Naumova, E.N.: Influenza seasonality: underlying causes and modeling theories. J. Virol. 81(11), 5429\u20135436 (2007)","journal-title":"J. Virol."},{"key":"25_CR2","unstructured":"Mcneil, D.G.: This Flu Season Is the Worst in Nearly a Decade (2018). \nhttps:\/\/www.nytimes.com\/2018\/01\/26\/health\/flu-rates-deaths.html\n\n. Accessed 13 Mar 2018"},{"key":"25_CR3","unstructured":"Centers for Disease Control and Prevention: Situation Update: Summary of Weekly FluView Report (2018). \nhttps:\/\/www.cdc.gov\/flu\/weekly\/summary.htm\n\n. Accessed 5 Apr 2018"},{"key":"25_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1007\/978-3-642-38768-5_68","volume-title":"Computing and Combinatorics","author":"M Han","year":"2013","unstructured":"Han, M., Yan, M., Li, J., Ji, S., Li, Y.: Generating uncertain networks based on historical network snapshots. In: Du, D.-Z., Zhang, G. (eds.) COCOON 2013. LNCS, vol. 7936, pp. 747\u2013758. Springer, Heidelberg (2013). \nhttps:\/\/doi.org\/10.1007\/978-3-642-38768-5_68"},{"key":"25_CR5","unstructured":"O\u2019Connor, F.: Google Flu Trends calls out sick, indefinitely (2015). \nhttps:\/\/www.pcworld.com\/article\/2974153\/websites\/google-flu-trends-calls-out-sick-indefinitely.html\n\n. Accessed 13 Mar 2018"},{"issue":"4","key":"25_CR6","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1093\/cid\/cir883","volume":"54","author":"AF Dugas","year":"2012","unstructured":"Dugas, A.F., Hsieh, Y.H., Levin, S.R., Pines, J.M., Mareiniss, D.P., Mohareb, A., Gaydos, C.A., Perl, T.M., Rothman, R.E.: Google flu trends: correlation with emergency department influenza rates and crowding metrics. Clin. Infect. Dis. 54(4), 463\u2013469 (2012)","journal-title":"Clin. Infect. Dis."},{"issue":"10","key":"25_CR7","doi-asserted-by":"publisher","first-page":"e1004513","DOI":"10.1371\/journal.pcbi.1004513","volume":"11","author":"M Santillana","year":"2015","unstructured":"Santillana, M., Nguyen, A.T., Dredze, M., Paul, M.J., Nsoesie, E.O., Brownstein, J.S.: Combining search, social media, and traditional data sources to improve influenza surveillance. PLoS Comput. Biol. 11(10), e1004513 (2015)","journal-title":"PLoS Comput. Biol."},{"key":"25_CR8","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.jnca.2016.01.004","volume":"63","author":"M Han","year":"2016","unstructured":"Han, M., Yan, M., Cai, Z., Li, Y.: An exploration of broader influence maximization in timeliness networks with opportunistic selection. J. Netw. Comput. Appl. 63, 39\u201349 (2016)","journal-title":"J. Netw. Comput. Appl."},{"key":"25_CR9","doi-asserted-by":"crossref","unstructured":"Albinali, H., Han, M., Wang, J., Gao, H., Li, Y.: The roles of social network mavens. In: 2016 12th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN, pp. 1\u20138. IEEE (2016)","DOI":"10.1109\/MSN.2016.009"},{"key":"25_CR10","first-page":"1","volume":"2016","author":"X Guo","year":"2016","unstructured":"Guo, X., Liu, B., Chen, L., Chen, G., Pan, Y., Zhang, J.: Bayesian inference for functional dynamics exploring in fMRI data. Comput. Math. Methods Med. 2016, 1\u20139 (2016)","journal-title":"Comput. Math. Methods Med."},{"key":"25_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/3-540-70659-3_2","volume-title":"Structural, Syntactic, and Statistical Pattern Recognition","author":"TG Dietterich","year":"2002","unstructured":"Dietterich, T.G.: Machine learning for sequential data: a review. In: Caelli, T., Amin, A., Duin, R.P.W., de Ridder, D., Kamel, M. (eds.) SSPR \/SPR 2002. LNCS, vol. 2396, pp. 15\u201330. Springer, Heidelberg (2002). \nhttps:\/\/doi.org\/10.1007\/3-540-70659-3_2"},{"key":"25_CR12","unstructured":"Georgia Health News: Georgia\u2019s flu death toll now at 51; season\u2019s peak is still ahead (online)"},{"issue":"8","key":"25_CR13","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Azzouni, A., Pujolle, G.: A long short-term memory recurrent neural network framework for network traffic matrix prediction. arXiv preprint \narXiv:1705.05690\n\n (2017)","DOI":"10.1109\/NOMS.2018.8406199"},{"key":"25_CR15","doi-asserted-by":"crossref","unstructured":"Gers, F.A., Schmidhuber, J., Cummins, F.: Learning to forget: continual prediction with LSTM (1999)","DOI":"10.1049\/cp:19991218"}],"container-title":["Lecture Notes in Computer Science","Bioinformatics Research and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-94968-0_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,15]],"date-time":"2019-11-15T01:05:58Z","timestamp":1573779958000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-94968-0_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319949673","9783319949680"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-94968-0_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"13 July 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISBRA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Bioinformatics Research and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isbra2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/alan.cs.gsu.edu\/isbra18\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}