{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T13:12:37Z","timestamp":1789737157696,"version":"4.0.1"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,8,13]],"date-time":"2018-08-13T00:00:00Z","timestamp":1534118400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"RGC Theme-Based Research Scheme","award":["No. T32-102\/14-N"],"award-info":[{"award-number":["No. T32-102\/14-N"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 71420107023"],"award-info":[{"award-number":["No. 71420107023"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Infect Dis"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1186\/s12879-018-3285-4","type":"journal-article","created":{"date-parts":[[2018,8,13]],"date-time":"2018-08-13T14:24:04Z","timestamp":1534170244000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Using Baidu index to nowcast hand-foot-mouth disease in China: a meta learning approach"],"prefix":"10.1186","volume":"18","author":[{"given":"Yang","family":"Zhao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qinneng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yupeng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kwok Leung","family":"Tsui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,8,13]]},"reference":[{"issue":"11","key":"3285_CR1","doi-asserted-by":"publisher","first-page":"778","DOI":"10.1016\/S1473-3099(10)70194-8","volume":"10","author":"T Solomon","year":"2010","unstructured":"Solomon T, Lewthwaite P, Perera D, Cardosa MJ, McMinn P, Ooi MH. Virology, epidemiology, pathogenesis, and control of enterovirus 71. Lancet Infect Dis. 2010; 10(11):778\u201390.","journal-title":"Lancet Infect Dis"},{"issue":"12","key":"3285_CR2","doi-asserted-by":"publisher","first-page":"6400","DOI":"10.3390\/v7122947","volume":"7","author":"ZC Zhuang","year":"2015","unstructured":"Zhuang ZC, Kou ZQ, Bai YJ, Cong X, Wang LH, Li C, et al.Epidemiological research on hand, foot, and mouth disease in Mainland China. Viruses. 2015; 7(12):6400\u201311.","journal-title":"Viruses"},{"issue":"9","key":"3285_CR3","doi-asserted-by":"publisher","first-page":"890","DOI":"10.3390\/ijerph13090890","volume":"13","author":"PC Chang","year":"2016","unstructured":"Chang PC, Chen SC, Chen KT. The current status of the disease caused by Enterovirus 71 infections: epidemiology, pathogenesis, molecular epidemiology, and vaccine development. Int J Environ Res Public Health. 2016; 13(9):890.","journal-title":"Int J Environ Res Public Health"},{"issue":"4","key":"3285_CR4","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1016\/S1473-3099(13)70342-6","volume":"14","author":"W Xing","year":"2014","unstructured":"Xing W, Liao Q, Viboud C, Zhang J, Sun J, Wu JT, et al.Hand, foot, and mouth disease in China, 2008\u201312: an epidemiological study. Lancet Infect Dis. 2014; 14(4):308\u201318.","journal-title":"Lancet Infect Dis"},{"issue":"2","key":"3285_CR5","doi-asserted-by":"crossref","first-page":"106","DOI":"10.47102\/annals-acadmedsg.V38N2p106","volume":"38","author":"LW Ang","year":"2009","unstructured":"Ang LW, Koh BK, Chan KP, Chua LT, James L, Goh KT. Epidemiology and control of hand, foot and mouth disease in Singapore. Ann Acad Med Singapore. 2009; 38(2):106\u201312.","journal-title":"Ann Acad Med Singapore"},{"issue":"3","key":"3285_CR6","doi-asserted-by":"publisher","first-page":"678","DOI":"10.1086\/314032","volume":"31","author":"L Chan","year":"2000","unstructured":"Chan L, Parashar UD, Lye M, Ong F, Zaki SR, Alexander JP, et al.Deaths of children during an outbreak of hand, foot, and mouth disease in Sarawak, Malaysia: clinical and pathological characteristics of the disease. Clin Infect Dis. 2000; 31(3):678\u201383.","journal-title":"Clin Infect Dis"},{"issue":"9","key":"3285_CR7","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1111\/j.1348-0421.2002.tb02743.x","volume":"46","author":"T Fujimoto","year":"2002","unstructured":"Fujimoto T, Chikahira M, Yoshida S, Ebira H, Hasegawa A, Totsuka A, et al.Outbreak of central nervous system disease associated with hand, foot, and mouth disease in Japan during the summer of 2000: detection and molecular epidemiology of enterovirus 71. Microbiol Immunol. 2002; 46(9):621\u20137.","journal-title":"Microbiol Immunol"},{"issue":"2","key":"3285_CR8","doi-asserted-by":"publisher","first-page":"337","DOI":"10.3201\/eid1802.111147","volume":"18","author":"T Fujimoto","year":"2012","unstructured":"Fujimoto T, Iizuka S, Enomoto M, Abe K, Yamashita K, Hanaoka N, et al.Hand, foot, and mouth disease caused by coxsackievirus A6, Japan, 2011. Emerg Infect Dis. 2012; 18(2):337.","journal-title":"Emerg Infect Dis"},{"issue":"2","key":"3285_CR9","doi-asserted-by":"publisher","first-page":"e244","DOI":"10.1542\/peds.2006-3331","volume":"120","author":"KT Chen","year":"2007","unstructured":"Chen KT, Chang HL, Wang ST, Cheng YT, Yang JY. Epidemiologic features of hand-foot-mouth disease and herpangina caused by enterovirus 71 in Taiwan, 1998\u20132005. Pediatrics. 2007; 120(2):e244\u2013e252.","journal-title":"Pediatrics"},{"issue":"7","key":"3285_CR10","doi-asserted-by":"publisher","first-page":"2351","DOI":"10.1128\/JCM.00563-09","volume":"47","author":"F Yang","year":"2009","unstructured":"Yang F, Ren L, Xiong Z, Li J, Xiao Y, Zhao R, et al.Enterovirus 71 outbreak in the People\u2019s Republic of China in 2008. J Clin Microbiol. 2009; 47(7):2351\u20132.","journal-title":"J Clin Microbiol"},{"issue":"1","key":"3285_CR11","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1186\/1471-2334-14-341","volume":"14","author":"NT Nguyen","year":"2014","unstructured":"Nguyen NT, Pham HV, Hoang CQ, Nguyen TM, Nguyen LT, Phan HC, et al.Epidemiological and clinical characteristics of children who died from hand, foot and mouth disease in Vietnam, 2011. BMC Infect Dis. 2014; 14(1):341.","journal-title":"BMC Infect Dis"},{"issue":"49","key":"3285_CR12","doi-asserted-by":"publisher","first-page":"7731","DOI":"10.1016\/j.vaccine.2010.09.065","volume":"28","author":"BY Lee","year":"2010","unstructured":"Lee BY, Wateska AR, Bailey RR, Tai JH, Bacon KM, Smith KJ. Forecasting the economic value of an Enterovirus 71 (EV71) vaccine. Vaccine. 2010; 28(49):7731\u20136.","journal-title":"Vaccine"},{"key":"3285_CR13","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.envint.2016.11.021","volume":"100","author":"X Xiao","year":"2017","unstructured":"Xiao X, Gasparrini A, Huang J, Liao Q, Liu F, Yin F, et al.The exposure-response relationship between temperature and childhood hand, foot and mouth disease: A multicity study from mainland China. Environ Int. 2017; 100:102\u20139.","journal-title":"Environ Int"},{"issue":"1","key":"3285_CR14","doi-asserted-by":"publisher","first-page":"e87916","DOI":"10.1371\/journal.pone.0087916","volume":"9","author":"H Feng","year":"2014","unstructured":"Feng H, Duan G, Zhang R, Zhang W.Time series analysis of hand-foot-mouth disease hospitalization in Zhengzhou: establishment of forecasting models using climate variables as predictors. PLoS ONE. 2014; 9(1):e87916.","journal-title":"PLoS ONE"},{"issue":"3","key":"3285_CR15","doi-asserted-by":"publisher","first-page":"e0117296","DOI":"10.1371\/journal.pone.0117296","volume":"10","author":"Y Song","year":"2015","unstructured":"Song Y, Wang F, Wang B, Tao S, Zhang H, Liu S, et al. Time series analyses of hand, foot and mouth disease integrating weather variables. PloS ONE. 2015; 10(3):e0117296.","journal-title":"PloS ONE"},{"issue":"8","key":"3285_CR16","doi-asserted-by":"publisher","first-page":"e0161006","DOI":"10.1371\/journal.pone.0161006","volume":"11","author":"P Wang","year":"2016","unstructured":"Wang P, Goggins WB, Chan EY. Hand, foot and mouth disease in Hong Kong: A time-series analysis on its relationship with weather. PloS ONE. 2016; 11(8):e0161006.","journal-title":"PloS ONE"},{"issue":"1","key":"3285_CR17","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1017\/S0950268815001144","volume":"144","author":"L Liu","year":"2016","unstructured":"Liu L, Luan R, Yin F, Zhu X, L\u00fc Q. Predicting the incidence of hand, foot and mouth disease in Sichuan province, China using the ARIMA model. Epidemiol Infect. 2016; 144(1):144\u201351.","journal-title":"Epidemiol Infect"},{"key":"3285_CR18","first-page":"018","volume":"3","author":"Xh Cai","year":"2012","unstructured":"Cai Xh, Wan Qp, Wu Ys, et al.Application of ARIMA Model in Predicting Incidence Trend of Hand-foot-mouth Disease in Zhabei District, Shanghai. Pract Prev Med. 2012; 3:018.","journal-title":"Pract Prev Med"},{"issue":"3\/RT\/98","key":"3285_CR19","first-page":"1","volume":"1998","author":"A Meyler","year":"1998","unstructured":"Meyler A, Kenny G, Quinn T. Forecasting Irish inflation using ARIMA models. Central Bank and Financial Services Authority of Ireland Technical Paper Series. 1998; 1998(3\/RT\/98):1\u201348.","journal-title":"Central Bank and Financial Services Authority of Ireland Technical Paper Series"},{"issue":"5","key":"3285_CR20","doi-asserted-by":"publisher","first-page":"481","DOI":"10.3390\/ijerph13050481","volume":"13","author":"R Huang","year":"2016","unstructured":"Huang R, Bian G, He T, Chen L, Xu G. Effects of meteorological parameters and PM10 on the incidence of hand, foot, and mouth disease in children in China. Int J Environ Res Publ Health. 2016; 13(5):481.","journal-title":"Int J Environ Res Publ Health"},{"issue":"7","key":"3285_CR21","doi-asserted-by":"publisher","first-page":"e65585","DOI":"10.1371\/journal.pone.0065585","volume":"8","author":"H Lin","year":"2013","unstructured":"Lin H, Zou H, Wang Q, Liu C, Lang L, Hou X, et al.Short-term effect of El Nino-Southern Oscillation on pediatric hand, foot and mouth disease in Shenzhen, China. PLoS ONE. 2013; 8(7):e65585.","journal-title":"PLoS ONE"},{"issue":"7","key":"3285_CR22","doi-asserted-by":"publisher","first-page":"1605","DOI":"10.1007\/s00484-013-0764-6","volume":"58","author":"C Chen","year":"2014","unstructured":"Chen C, Lin H, Li X, Lang L, Xiao X, Ding P, et al.Short-term effects of meteorological factors on children hand, foot and mouth disease in Guangzhou, China. Int J Biometeorol. 2014; 58(7):1605\u201314.","journal-title":"Int J Biometeorol"},{"issue":"6","key":"3285_CR23","doi-asserted-by":"publisher","first-page":"e98241","DOI":"10.1371\/journal.pone.0098241","volume":"9","author":"L Yu","year":"2014","unstructured":"Yu L, Zhou L, Tan L, Jiang H, Wang Y, Wei S, et al.Application of a new hybrid model with seasonal auto-regressive integrated moving average (ARIMA) and nonlinear auto-regressive neural network (NARNN) in forecasting incidence cases of HFMD in Shenzhen, China. PloS ONE. 2014; 9(6):e98241.","journal-title":"PloS ONE"},{"issue":"1","key":"3285_CR24","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1186\/s12889-015-1446-6","volume":"15","author":"Y Liao","year":"2015","unstructured":"Liao Y, Ouyang R, Wang J, Xu B. A study of spatiotemporal delay in hand, foot and mouth disease in response to weather variations based on SVD: a case study in Shandong Province, China. BMC Public health. 2015; 15(1):71.","journal-title":"BMC Public health"},{"issue":"12","key":"3285_CR25","doi-asserted-by":"publisher","first-page":"1779","DOI":"10.1017\/S0950268810002256","volume":"138","author":"E Ma","year":"2010","unstructured":"Ma E, Lam T, Wong C, Chuang S. Is hand, foot and mouth disease associated with meteorological parametersEpidemiol Infect. 2010; 138(12):1779\u201388.","journal-title":"Epidemiol Infect"},{"issue":"1","key":"3285_CR26","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1186\/1471-2334-13-134","volume":"13","author":"Y Huang","year":"2013","unstructured":"Huang Y, Deng T, Yu S, Gu J, Huang C, Xiao G, et al.Effect of meteorological variables on the incidence of hand, foot, and mouth disease in children: a time-series analysis in Guangzhou, China. BMC Infect Dis. 2013; 13(1):134.","journal-title":"BMC Infect Dis"},{"issue":"1","key":"3285_CR27","doi-asserted-by":"publisher","first-page":"524","DOI":"10.1186\/s12879-016-1846-y","volume":"16","author":"C Guo","year":"2016","unstructured":"Guo C, Yang J, Guo Y, Ou QQ, Shen SQ, Ou CQ, et al.Short-term effects of meteorological factors on pediatric hand, foot, and mouth disease in Guangdong, China: a multi-city time-series analysis. BMC Infect Dis. 2016; 16(1):524.","journal-title":"BMC Infect Dis"},{"issue":"7232","key":"3285_CR28","doi-asserted-by":"publisher","first-page":"1012","DOI":"10.1038\/nature07634","volume":"457","author":"J Ginsberg","year":"2009","unstructured":"Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L. Detecting influenza epidemics using search engine query data. Nature. 2009; 457(7232):1012\u20134.","journal-title":"Nature"},{"issue":"4","key":"3285_CR29","doi-asserted-by":"publisher","first-page":"e1003581","DOI":"10.1371\/journal.pcbi.1003581","volume":"10","author":"DJ McIver","year":"2014","unstructured":"McIver DJ, Brownstein JS. Wikipedia usage estimates prevalence of influenza-like illness in the United States in near real-time. PLoS Comput Biol. 2014; 10(4):e1003581.","journal-title":"PLoS Comput Biol"},{"issue":"5","key":"3285_CR30","doi-asserted-by":"publisher","first-page":"e0176690","DOI":"10.1371\/journal.pone.0176690","volume":"12","author":"Q Xu","year":"2017","unstructured":"Xu Q, Gel YR, Ramirez LLR, Nezafati K, Zhang Q, Tsui KL. Forecasting influenza in Hong Kong with Google search queries and statistical model fusion. PloS ONE. 2017; 12(5):e0176690.","journal-title":"PloS ONE"},{"issue":"3","key":"3285_CR31","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/j.amepre.2014.05.020","volume":"47","author":"M Santillana","year":"2014","unstructured":"Santillana M, Zhang DW, Althouse BM, Ayers JW. What can digital disease detection learn from (an external revision to) Google Flu Trends?Am J Prev Med. 2014; 47(3):341\u20137.","journal-title":"Am J Prev Med"},{"issue":"47","key":"3285_CR32","doi-asserted-by":"publisher","first-page":"14473","DOI":"10.1073\/pnas.1515373112","volume":"112","author":"S Yang","year":"2015","unstructured":"Yang S, Santillana M, Kou SC. Accurate estimation of influenza epidemics using Google search data via ARGO. Proc Natl Acad Sci. 2015; 112(47):14473\u20138.","journal-title":"Proc Natl Acad Sci"},{"key":"3285_CR33","doi-asserted-by":"publisher","first-page":"12760","DOI":"10.1038\/srep12760","volume":"5","author":"V Lampos","year":"2015","unstructured":"Lampos V, Miller AC, Crossan S, Stefansen C. Advances in nowcasting influenza-like illness rates using search query logs. Sci Rep. 2015; 5:12760.","journal-title":"Sci Rep"},{"issue":"1","key":"3285_CR34","doi-asserted-by":"publisher","first-page":"e55205","DOI":"10.1371\/journal.pone.0055205","volume":"8","author":"M Kang","year":"2013","unstructured":"Kang M, Zhong H, He J, Rutherford S, Yang F. Using google trends for influenza surveillance in South China. PloS ONE. 2013; 8(1):e55205.","journal-title":"PloS ONE"},{"issue":"1","key":"3285_CR35","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1186\/s12879-017-2424-7","volume":"17","author":"S Yang","year":"2017","unstructured":"Yang S, Santillana M, Brownstein JS, Gray J, Richardson S, Kou S. Using electronic health records and Internet search information for accurate influenza forecasting. BMC Infect Dis. 2017; 17(1):332.","journal-title":"BMC Infect Dis"},{"issue":"10","key":"3285_CR36","doi-asserted-by":"publisher","first-page":"e016263","DOI":"10.1136\/bmjopen-2017-016263","volume":"7","author":"Z Du","year":"2017","unstructured":"Du Z, Xu L, Zhang W, Zhang D, Yu S, Hao Y. Predicting the hand, foot, and mouth disease incidence using search engine query data and climate variables: an ecological study in Guangdong, China. BMJ open. 2017; 7(10):e016263.","journal-title":"BMJ open"},{"issue":"8","key":"3285_CR37","doi-asserted-by":"publisher","first-page":"1699","DOI":"10.1017\/S0950268817000231","volume":"145","author":"Q Xiao","year":"2017","unstructured":"Xiao Q, Liu H, Feldman M. Tracking and predicting hand, foot, and mouth disease (HFMD) epidemics in China by Baidu queries. Epidemiol Infect. 2017; 145(8):1699\u2013707.","journal-title":"Epidemiol Infect"},{"issue":"6","key":"3285_CR38","doi-asserted-by":"publisher","first-page":"e1004876","DOI":"10.1371\/journal.pcbi.1004876","volume":"12","author":"DC Huang","year":"2016","unstructured":"Huang DC, Wang JF, Huang JX, Sui DZ, Zhang HY, Hu MG, et al. Towards identifying and reducing the bias of disease information extracted from search engine data. PLoS Comput Biol. 2016; 12(6):e1004876.","journal-title":"PLoS Comput Biol"},{"issue":"2_suppl","key":"3285_CR39","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1177\/2047487314552755","volume":"21","author":"M Grossglauser","year":"2014","unstructured":"Grossglauser M, Saner H. Data-driven healthcare: from patterns to actions. Eur J Prev Cardiol. 2014; 21(2_suppl):14\u20137.","journal-title":"Eur J Prev Cardiol"},{"issue":"1","key":"3285_CR40","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/S1386-5056(01)00167-8","volume":"63","author":"SSR Abidi","year":"2001","unstructured":"Abidi SSR. Knowledge management in healthcare: towards \u2019knowledge-driven\u2019decision-support services. Int J Med Inform. 2001; 63(1):5\u201318.","journal-title":"Int J Med Inform"},{"key":"3285_CR41","unstructured":"China Search Engine Market Overview. 2015. Available from: https:\/\/www.chinainternetwatch.com\/17415\/search-engine-2012-2018e\/ . Accessed 11 July 2018."},{"key":"3285_CR42","volume-title":"Applied linear regression models","author":"MH Kutner","year":"2004","unstructured":"Kutner MH, Nachtsheim C, Neter J. Applied linear regression models. New York: McGraw-Hill\/Irwin; 2004."},{"issue":"22","key":"3285_CR43","doi-asserted-by":"publisher","first-page":"4202","DOI":"10.1002\/sim.2835","volume":"26","author":"HS Burkom","year":"2007","unstructured":"Burkom HS, Murphy SP, Shmueli G. Automated time series forecasting for biosurveillance. Stat Med. 2007; 26(22):4202\u201318.","journal-title":"Stat Med"},{"key":"3285_CR44","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.neucom.2004.03.008","volume":"61","author":"RB Prud\u00eancio","year":"2004","unstructured":"Prud\u00eancio RB, Ludermir TB. Meta-learning approaches to selecting time series models. Neurocomputing. 2004; 61:121\u201337.","journal-title":"Neurocomputing"},{"issue":"6","key":"3285_CR45","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1016\/j.jpdc.2010.03.003","volume":"70","author":"Z Lan","year":"2010","unstructured":"Lan Z, Gu J, Zheng Z, Thakur R, Coghlan S. A study of dynamic meta-learning for failure prediction in large-scale systems. J Parallel Distrib Comput. 2010; 70(6):630\u201343.","journal-title":"J Parallel Distrib Comput"},{"issue":"6","key":"3285_CR46","doi-asserted-by":"publisher","first-page":"6168","DOI":"10.1016\/j.eswa.2011.11.115","volume":"39","author":"S Zhou","year":"2012","unstructured":"Zhou S, Lai KK, Yen J. A dynamic meta-learning rate-based model for gold market forecasting. Expert Syst Appl. 2012; 39(6):6168\u201373.","journal-title":"Expert Syst Appl"},{"issue":"11","key":"3285_CR47","doi-asserted-by":"publisher","first-page":"4427","DOI":"10.1016\/j.eswa.2013.01.047","volume":"40","author":"M Matijas\u0307","year":"2013","unstructured":"Matijas\u0307 M, Suykens JA, Krajcar S. Load forecasting using a multivariate meta-learning system. Expert Syst Appl. 2013; 40(11):4427\u201337.","journal-title":"Expert Syst Appl"},{"issue":"10","key":"3285_CR48","doi-asserted-by":"publisher","first-page":"2006","DOI":"10.1016\/j.neucom.2009.09.020","volume":"73","author":"C Lemke","year":"2010","unstructured":"Lemke C, Gabrys B. Meta-learning for time series forecasting and forecast combination. Neurocomputing. 2010; 73(10):2006\u201316.","journal-title":"Neurocomputing"},{"issue":"2","key":"3285_CR49","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1023\/A:1019956318069","volume":"18","author":"R Vilalta","year":"2002","unstructured":"Vilalta R, Drissi Y. A perspective view and survey of meta-learning. Artif Intell Rev. 2002; 18(2):77\u201395.","journal-title":"Artif Intell Rev"},{"key":"3285_CR50","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/j.apenergy.2016.03.112","volume":"172","author":"C Cui","year":"2016","unstructured":"Cui C, Wu T, Hu M, Weir JD, Li X. Short-term building energy model recommendation system: A meta-learning approach. Appl Energy. 2016; 172:251\u201363.","journal-title":"Appl Energy"},{"issue":"3","key":"3285_CR51","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V. Support-vector networks. Mach Learn. 1995; 20(3):273\u201397.","journal-title":"Mach Learn"},{"issue":"7","key":"3285_CR52","doi-asserted-by":"publisher","first-page":"1460","DOI":"10.1109\/TKDE.2012.99","volume":"25","author":"YJ Lee","year":"2013","unstructured":"Lee YJ, Yeh YR, Wang YCF. Anomaly detection via online oversampling principal component analysis. IEEE Trans Knowl Data Eng. 2013; 25(7):1460\u201370.","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"3285_CR53","unstructured":"Shlens J. A tutorial on principal component analysis. arXiv:14041100. 2014."},{"issue":"03","key":"3285_CR54","first-page":"173","volume":"4","author":"S Karamizadeh","year":"2013","unstructured":"Karamizadeh S, Abdullah SM, Manaf AA, Zamani M, Hooman A. An overview of principal component analysis. J Signal Inf Process. 2013; 4(03):173.","journal-title":"J Signal Inf Process"},{"issue":"10","key":"3285_CR55","doi-asserted-by":"publisher","first-page":"2797","DOI":"10.1002\/aic.690421011","volume":"42","author":"R Dunia","year":"1996","unstructured":"Dunia R, Qin SJ, Edgar TF, McAvoy TJ. Identification of faulty sensors using principal component analysis. AIChE J. 1996; 42(10):2797\u2013812.","journal-title":"AIChE J"},{"issue":"1","key":"3285_CR56","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1111\/j.1745-493X.2000.tb00078.x","volume":"36","author":"A Petroni","year":"2000","unstructured":"Petroni A, Braglia M. Vendor selection using principal component analysis. J Supply Chain Manag. 2000; 36(1):63\u20139.","journal-title":"J Supply Chain Manag"},{"issue":"1","key":"3285_CR57","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani R. Regression shrinkage and selection via the lasso. J R Stat Soc Ser B Methodol. 1996; 58(1):267\u201388.","journal-title":"J R Stat Soc Ser B Methodol"},{"issue":"3","key":"3285_CR58","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1111\/j.1467-9868.2011.00771.x","volume":"73","author":"R Tibshirani","year":"2011","unstructured":"Tibshirani R. Regression shrinkage and selection via the lasso: a retrospective. J R Stat Soc Ser B Stat Methodol. 2011; 73(3):273\u201382.","journal-title":"J R Stat Soc Ser B Stat Methodol"},{"key":"3285_CR59","volume-title":"Regression analysis by example","author":"S Chatterjee","year":"2015","unstructured":"Chatterjee S, Hadi AS. Regression analysis by example. New Jersey: Wiley; 2015."},{"issue":"1","key":"3285_CR60","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1080\/00401706.1970.10488634","volume":"12","author":"AE Hoerl","year":"1970","unstructured":"Hoerl AE, Kennard RW. Ridge regression: Biased estimation for nonorthogonal problems. Technometrics. 1970; 12(1):55\u201367.","journal-title":"Technometrics"},{"key":"3285_CR61","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.jtbi.2014.06.031","volume":"360","author":"S Wan","year":"2014","unstructured":"Wan S, Mak MW, Kung SY. R3P-Loc: A compact multi-label predictor using ridge regression and random projection for protein subcellular localization. J Theor Biol. 2014; 360:34\u201345.","journal-title":"J Theor Biol"},{"key":"3285_CR62","volume-title":"Time series analysis: forecasting and control","author":"GE Box","year":"2015","unstructured":"Box GE, Jenkins GM, Reinsel GC, Ljung GM. Time series analysis: forecasting and control. New Jersey: Wiley; 2015."},{"key":"3285_CR63","doi-asserted-by":"crossref","DOI":"10.1515\/9780691218632","volume-title":"Time series analysis","author":"JD Hamilton","year":"1994","unstructured":"Hamilton JD, Vol. 2. Time series analysis. Princeton: Princeton university press Princeton; 1994."},{"key":"3285_CR64","doi-asserted-by":"publisher","DOI":"10.1201\/9781420036206","volume-title":"Time-series forecasting","author":"C Chatfield","year":"2000","unstructured":"Chatfield C. Time-series forecasting. Boca Raton: CRC Press; 2000."},{"key":"3285_CR65","volume-title":"Automatic time series for forecasting: the forecast package for R. 6\/07","author":"RJ Hyndman","year":"2007","unstructured":"Hyndman RJ, Khandakar Y, et al.Automatic time series for forecasting: the forecast package for R. 6\/07. Melbourne: Monash University, Department of Econometrics and Business Statistics; 2007."},{"key":"3285_CR66","unstructured":"R Core Team. R: A Language and Environment for Statistical Computing. 2014. Available from: http:\/\/www.R-project.org\/ . Accessed 11 July 2018."}],"container-title":["BMC Infectious Diseases"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12879-018-3285-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12879-018-3285-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12879-018-3285-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T05:33:07Z","timestamp":1720503187000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcinfectdis.biomedcentral.com\/articles\/10.1186\/s12879-018-3285-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,13]]},"references-count":66,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["3285"],"URL":"https:\/\/doi.org\/10.1186\/s12879-018-3285-4","relation":{},"ISSN":["1471-2334"],"issn-type":[{"value":"1471-2334","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,13]]},"assertion":[{"value":"9 November 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 July 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 August 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"398"}}