{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T08:24:30Z","timestamp":1778660670337,"version":"3.51.4"},"reference-count":59,"publisher":"SAGE Publications","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ICA"],"published-print":{"date-parts":[[2019,9,11]]},"DOI":"10.3233\/ica-190605","type":"journal-article","created":{"date-parts":[[2019,5,24]],"date-time":"2019-05-24T10:51:09Z","timestamp":1558695069000},"page":"411-426","source":"Crossref","is-referenced-by-count":51,"title":["Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression"],"prefix":"10.1177","volume":"26","author":[{"given":"Shui-Hua","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan 454000, China"},{"name":"Department of Rheumatology and Immunology Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu 210008, China"},{"name":"Department of Math, University of Leicester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Dong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan 454000, China"},{"name":"Department of Informatics, University of Leicester, Leicester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Children\u2019s Hospital of Nanjing Medical University, Nanjing 210008, China"},{"name":"School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan 454000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Zhong-Da Hospital of Southeast University, Nanjing 210009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javier","family":"Ramirez","sequence":"additional","affiliation":[{"name":"Department of Signal Theory, Networking and Communications, University of Granada, Spain"},{"name":"School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan 454000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan Manuel","family":"Gorriz","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Robinson Way, University of Cambridge, UK"},{"name":"School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan 454000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"3","key":"10.3233\/ICA-190605_ref1","first-page":"365","article-title":"Study of prevalence and causes of hearing loss in high risk neonates admitted to neonatal ward and neonatal intensive care unit","volume":"6","author":"Fakhim","year":"2010","journal-title":"Journal of International Advanced Otology"},{"issue":"8","key":"10.3233\/ICA-190605_ref2","doi-asserted-by":"crossref","first-page":"924","DOI":"10.1097\/INF.0000000000001194","article-title":"Clinical predictors of sensorineural hearing loss and cognitive outcome in infants with symptomatic congenital cytomegalovirus infection","volume":"35","author":"Pinninti","year":"2016","journal-title":"Pediatric Infectious Disease Journal"},{"key":"10.3233\/ICA-190605_ref3","first-page":"340","article-title":"Assessment of hearing loss and balance among adult cf patients exposed to potential ototoxic medications","volume":"50","author":"Killeen","year":"2015","journal-title":"Pediatric Pulmonology"},{"issue":"1","key":"10.3233\/ICA-190605_ref4","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1121\/1.4955078","article-title":"Interactions between amplitude modulation and frequency modulation processing: Effects of age and hearing loss","volume":"140","author":"Paraouty","year":"2016","journal-title":"Journal of the Acoustical Society of America"},{"issue":"8","key":"10.3233\/ICA-190605_ref5","doi-asserted-by":"crossref","first-page":"998","DOI":"10.1097\/MAO.0000000000001104","article-title":"Asymmetrical hearing loss in cases of industrial noise exposure: A systematic review of the literature","volume":"37","author":"Masterson","year":"2016","journal-title":"Otology & Neurotology"},{"key":"10.3233\/ICA-190605_ref6","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.heares.2016.02.003","article-title":"Electrode array-eluted dexamethasone protects against electrode insertion trauma induced hearing and hair cell losses, damage to neural elements, increases in impedance and fibrosis: A dose response study","volume":"337","author":"Bas","year":"2016","journal-title":"Hearing Research"},{"issue":"1","key":"10.3233\/ICA-190605_ref7","doi-asserted-by":"crossref","first-page":"4","DOI":"10.3109\/00016489.2012.712216","article-title":"BDNF as otoprotectant in toxin-induced hearing loss","volume":"133","author":"Lidian","year":"2013","journal-title":"Acta Oto-Laryngologica"},{"issue":"6","key":"10.3233\/ICA-190605_ref8","doi-asserted-by":"crossref","first-page":"1709","DOI":"10.1044\/1092-4388(2011\/10-0149)","article-title":"Biotechnology in the treatment of sensorineural hearing loss: Foundations and future of hair cell regeneration","volume":"54","author":"Parker","year":"2011","journal-title":"Journal of Speech Language and Hearing Research"},{"issue":"1","key":"10.3233\/ICA-190605_ref9","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1515\/revneuro-2018-0050","article-title":"Segmentation and clustering in brain MRI imaging","volume":"30","author":"Mirzaei","year":"2018","journal-title":"Reviews in the Neurosciences"},{"issue":"5","key":"10.3233\/ICA-190605_ref10","doi-asserted-by":"crossref","first-page":"194","DOI":"10.3390\/e18050194","article-title":"Detection of left-sided and right-sided hearing loss via fractional fourier transform","volume":"18","author":"Li","year":"2016","journal-title":"Entropy"},{"issue":"S2","key":"10.3233\/ICA-190605_ref11","first-page":"S350","article-title":"Computer-aided detection of left and right sensorineural hearing loss by wavelet packet decomposition and least-square support vector machine","volume":"64","author":"Chen","year":"2016","journal-title":"Journal of the American Geriatrics Society"},{"key":"10.3233\/ICA-190605_ref12","first-page":"160","article-title":"Wavelet entropy and directed acyclic graph support vector machine for detection of patients with unilateral hearing loss in MRI scanning","volume":"10","author":"Gorriz","year":"2016","journal-title":"Front Comput Neurosci"},{"issue":"3","key":"10.3233\/ICA-190605_ref13","doi-asserted-by":"crossref","first-page":"3775","DOI":"10.1007\/s11042-016-4087-6","article-title":"Sensorineural hearing loss detection via discrete wavelet transform and principal component analysis combined with generalized eigenvalue proximal support vector machine and tikhonov regularization","volume":"77","author":"Chen","year":"2016","journal-title":"Multimedia Tools and Applications"},{"issue":"s2","key":"10.3233\/ICA-190605_ref14","doi-asserted-by":"crossref","first-page":"S641","DOI":"10.3233\/THC-161191","article-title":"Preliminary research on abnormal brain detection by wavelet-energy and quantum-behaved PSO","volume":"24","author":"Sun","year":"2016","journal-title":"Technology and Health Care"},{"issue":"9","key":"10.3233\/ICA-190605_ref15","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1177\/0037549716667834","article-title":"Smart detection on abnormal breasts in digital mammography based on contrast-limited adaptive histogram equalization and chaotic adaptive real-coded biogeography-based optimization","volume":"92","author":"Wu","year":"2016","journal-title":"Simulation"},{"issue":"5","key":"10.3233\/ICA-190605_ref16","doi-asserted-by":"crossref","first-page":"1218","DOI":"10.1166\/jmihi.2016.1901","article-title":"A pathological brain detection system based on radial basis function neural network","volume":"6","author":"Lu","year":"2016","journal-title":"Journal of Medical Imaging and Health Informatics"},{"key":"10.3233\/ICA-190605_ref17","doi-asserted-by":"crossref","unstructured":"ChenX-Q., Fractal dimension estimation for developing pathological brain detection system based on Minkowski-Bouligand method, IEEE Access. 2016; 4: 5937-47.","DOI":"10.1109\/ACCESS.2016.2611530"},{"key":"10.3233\/ICA-190605_ref18","first-page":"541","article-title":"Hearing loss detection in medical multimedia data by discrete wavelet packet entropy and single-hidden layer neural network trained by adaptive learning-rate back propagation","author":"Lu","year":"2017","journal-title":"14th International Symposium on Neural Networks (ISNN); Sapporo, Japan: Springer"},{"key":"10.3233\/ICA-190605_ref19","first-page":"412","article-title":"Hu moment invariant: A new method for hearing loss detection","volume":"153","author":"Pereira","year":"2017","journal-title":"Advances in Engineering Research"},{"key":"10.3233\/ICA-190605_ref20","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1007\/s10916-017-0814-4","article-title":"Three-category classification of magnetic resonance hearing loss images based on deep autoencoder","volume":"41","author":"Jia","year":"2017","journal-title":"Journal of Medical Systems"},{"key":"10.3233\/ICA-190605_ref21","doi-asserted-by":"crossref","unstructured":"Wang S, Zhang Y, Yang M, Liu B, Ramirez J, Gorriz JM. Preliminary study on unilateral sensorineural hearing loss identification via dual-tree complex wavelet transform and multinomial logistic regression. in: Natural and Artificial Computation for Biomedicine and Neuroscience: International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part I. Ferr\u00e1ndez Vicente JM, \u00c1lvarez-S\u00e1nchez JR, de la Paz L\u00f3pez F, Toledo More J, Adeli H, editors. Cham: Springer International Publishing. 2017; 289-97.","DOI":"10.1007\/978-3-319-59740-9_28"},{"issue":"3","key":"10.3233\/ICA-190605_ref22","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1002\/hbm.10062","article-title":"Fast robust automated brain extraction","volume":"17","author":"Smith","year":"2002","journal-title":"Human Brain Mapping"},{"issue":"2","key":"10.3233\/ICA-190605_ref23","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/S1361-8415(01)00036-6","article-title":"A global optimisation method for robust affine registration of brain images","volume":"5","author":"Jenkinson","year":"2001","journal-title":"Medical Image Analysis"},{"issue":"2","key":"10.3233\/ICA-190605_ref24","first-page":"825","article-title":"Improved optimization for the robust and accurate linear registration and motion correction of brain images","volume":"17","author":"Jenkinson","year":"2002","journal-title":"Neuro Image"},{"issue":"1, Supplement 1","key":"10.3233\/ICA-190605_ref25","first-page":"S173","article-title":"Bayesian analysis of neuroimaging data in FSL","volume":"45","author":"Woolrich","year":"2009","journal-title":"Neuro Image"},{"issue":"2","key":"10.3233\/ICA-190605_ref26","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.jneumeth.2012.08.020","article-title":"Fuzzy synchronization likelihood-wavelet methodology for diagnosis of autism spectrum disorder","volume":"211","author":"Ahmadlou","year":"2012","journal-title":"J Neurosci Methods"},{"issue":"4","key":"10.3233\/ICA-190605_ref27","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1177\/1550059414535465","article-title":"A wavelet-statistical features approach for nonconvulsive seizure detection","volume":"45","author":"Sharma","year":"2014","journal-title":"Clinical EEG and Neuroscience"},{"issue":"10","key":"10.3233\/ICA-190605_ref28","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1007\/s10916-018-1031-5","article-title":"A novel wavelet transform-homogeneity model for sudden cardiac death prediction using ECG signals","volume":"42","author":"Amezquita-Sanchez","year":"2018","journal-title":"J Med Syst"},{"key":"10.3233\/ICA-190605_ref29","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.jneumeth.2015.03.014","article-title":"Wavelet methodology to improve single unit isolation in primary motor cortex cells","volume":"246","author":"Ortiz-Rosario","year":"2015","journal-title":"J Neurosci Methods"},{"key":"10.3233\/ICA-190605_ref30","first-page":"198","article-title":"Application of principal component analysis and discrete wavelet transform in electronic nose for herbal drinks classification","author":"Agustika","year":"2016","journal-title":"Advances of Science and Technology for Society; Melville: Amer Inst Physics"},{"key":"10.3233\/ICA-190605_ref31","doi-asserted-by":"crossref","first-page":"41","DOI":"10.2528\/PIER15040602","article-title":"Pathological brain detection in magnetic resonance imaging scanning by wavelet entropy and hybridization of biogeography-based optimization and particle swarm optimization","volume":"152","author":"Phillips","year":"2015","journal-title":"Progress in Electromagnetics Research"},{"issue":"3","key":"10.3233\/ICA-190605_ref32","doi-asserted-by":"crossref","first-page":"1650051","DOI":"10.1142\/S0129065716500519","article-title":"Robust wavelet stabilized \u2018footprints of uncertainty\u2019 for fuzzy system classifiers to automatically detect sharp waves in the EEG after hypoxia ischemia","volume":"27","author":"Abbasi","year":"2017","journal-title":"International Journal of Neural Systems"},{"issue":"8","key":"10.3233\/ICA-190605_ref33","doi-asserted-by":"crossref","first-page":"1850010","DOI":"10.1142\/S0129065718500107","article-title":"Epileptic EEG identification via LBP operators on wavelet coefficients","volume":"28","author":"Yuan","year":"2018","journal-title":"Int J Neural Syst"},{"issue":"1","key":"10.3233\/ICA-190605_ref34","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1097\/WAD.0b013e3181ed1160","article-title":"Fractality and a wavelet-chaos-methodology for EEG-based diagnosis of alzheimer disease","volume":"25","author":"Ahmadlou","year":"2011","journal-title":"Alzheimer Disease and Associated Disorders"},{"issue":"6","key":"10.3233\/ICA-190605_ref35","first-page":"717","article-title":"Multimodal medical image fusion using dual-tree complex wavelet transform (DTCWT) with modified lion optimization technique (mLOT) and intensity co-variance verification (ICV)","volume":"31","author":"Ravichandran","year":"2016","journal-title":"Applied Computational Electromagnetics Society Journal"},{"issue":"6","key":"10.3233\/ICA-190605_ref36","doi-asserted-by":"crossref","first-page":"169","DOI":"10.3390\/app6060169","article-title":"Dual-tree complex wavelet transform and twin support vector machine for pathological brain detection","volume":"6","author":"Yang","year":"2016","journal-title":"Applied Sciences"},{"issue":"5","key":"10.3233\/ICA-190605_ref37","doi-asserted-by":"crossref","first-page":"2670","DOI":"10.1016\/j.ijleo.2015.11.187","article-title":"Expression invariant face recognition using local binary patterns and contourlet transform","volume":"127","author":"Patil","year":"2016","journal-title":"Optik"},{"issue":"2 Pt 1","key":"10.3233\/ICA-190605_ref38","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1109\/TBME.2007.905490","article-title":"Principal component analysis-enhanced cosine radial basis function neural network for robust epilepsy and seizure detection","volume":"55","author":"Ghosh-Dastidar","year":"2008","journal-title":"IEEE Transactions on Bio-Medical Engineering"},{"issue":"8","key":"10.3233\/ICA-190605_ref39","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.1016\/j.neucom.2010.06.025","article-title":"Principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer\u2019s disease","volume":"74","author":"L\u00f3pez","year":"2011","journal-title":"Neurocomputing"},{"key":"10.3233\/ICA-190605_ref40","doi-asserted-by":"crossref","first-page":"369","DOI":"10.2528\/PIER12061410","article-title":"An MR brain images classifier via principal component analysis and kernel support vector machine","volume":"130","author":"Wu","year":"2012","journal-title":"Progress in Electromagnetics Research"},{"key":"10.3233\/ICA-190605_ref41","unstructured":"Mirea M, Aivaz KA, editors. Analyzing \u201cthe workforce cost\u201d and \u201cthe net nominal earnings\u201d in the main economic activities, by principal component analysis. Basiq International Conference \u2013 New Trends in Sustainable Business and Consumption; Konstanz, Germany: Editura ASE. 2016; 201-9."},{"key":"10.3233\/ICA-190605_ref42","doi-asserted-by":"crossref","unstructured":"Adamiak K, Duch P, Zurek D, Slot K, editors. Modifications of most expressive feature reordering criteria for supervised kernel principal component analysis. 2nd International Conference on Cybernetics (CYBCONF); Gdynia, POLAND: IEEE. 2015; 507-11.","DOI":"10.1109\/CYBConf.2015.7175986"},{"key":"10.3233\/ICA-190605_ref43","first-page":"117","article-title":"Horse race analysis in credit card fraud-deep learning, logistic regression, and gradient boosted tree","author":"Rushin","year":"2017","journal-title":"Systems and Information Engineering Design Symposium (SIEDS); Charlottesville, VA, USA: IEEE"},{"key":"10.3233\/ICA-190605_ref44","unstructured":"Franc V, Zien A, Sch\u00f6lkopf B, editors. Support vector machines as probabilistic models. International Conference on Machine Learning (ICML); Bellevue, United States. 2011; 665-72."},{"key":"10.3233\/ICA-190605_ref45","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jocs.2018.07.003","article-title":"Multiple sclerosis identification by convolutional neural network with dropout and parametric reLU","volume":"28","author":"Zhang","year":"2018","journal-title":"Journal of Computational Science"},{"key":"10.3233\/ICA-190605_ref46","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.jocs.2018.05.005","article-title":"Abnormal breast identification by nine-layer convolutional neural network with parametric rectified linear unit and rank-based stochastic pooling","volume":"27","author":"Pan","year":"2018","journal-title":"Journal of Computational Science"},{"issue":"1","key":"10.3233\/ICA-190605_ref47","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1007\/s10916-017-0845-x","article-title":"Alcoholism detection by data augmentation and convolutional neural network with stochastic pooling","volume":"42","author":"Lv","year":"2018","journal-title":"Journal of Medical Systems"},{"key":"10.3233\/ICA-190605_ref48","first-page":"439","article-title":"Stator fault identification analysis in induction motor using multinomial logistic regression","author":"Pramesti","year":"2016","journal-title":"International Seminar on Intelligent Technology and its Applications (ISITIA); Lombok, Indonesia: IEEE"},{"key":"10.3233\/ICA-190605_ref49","doi-asserted-by":"crossref","unstructured":"Lee S, Piao Y, Shi HD, Choi JH, editors. New approaches to identify cancer heterogeneity in DNA methylation studies using the lepage test and multinomial logistic regression. IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB); Honolulu, HI: IEEE. 2015; 73-9.","DOI":"10.1109\/CIBCB.2015.7300318"},{"issue":"11","key":"10.3233\/ICA-190605_ref50","doi-asserted-by":"crossref","first-page":"3088","DOI":"10.1109\/TPDS.2016.2536028","article-title":"A fast discrete wavelet transform using hybrid parallelism on GPUs","volume":"27","author":"Quan","year":"2016","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"10.3233\/ICA-190605_ref51","unstructured":"Luo RB, Pi YG, editors. GPu-based parallel kernel PCA feature extraction for hyperspectral images. International Conference on Remote Sensing and Wireless Communications (RSWC); Shanghai, PEOPLES R CHINA: DESTech. 2014; 140-5."},{"issue":"7","key":"10.3233\/ICA-190605_ref52","doi-asserted-by":"crossref","first-page":"1456","DOI":"10.1109\/LGRS.2015.2408433","article-title":"Real-time implementation of the sparse multinomial logistic regression for hyperspectral image classification on GPUs","volume":"12","author":"Wu","year":"2015","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"10.3233\/ICA-190605_ref53","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.patrec.2018.04.012","article-title":"Discrete space reinforcement learning algorithm based on support vector machine classification","volume":"111","author":"An","year":"2018","journal-title":"Pattern Recognition Letters"},{"key":"10.3233\/ICA-190605_ref54","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.tourman.2018.03.006","article-title":"Effective tourist volume forecasting supported by PCA and improved BPNN using baidu index","volume":"68","author":"Li","year":"2018","journal-title":"Tourism Management"},{"issue":"2","key":"10.3233\/ICA-190605_ref55","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s11629-016-4126-9","article-title":"Landslide susceptibility mapping using an integrated model of information value method and logistic regression in the bailongjiang watershed, gansu province, china","volume":"14","author":"Du","year":"2017","journal-title":"J Mt Sci"},{"key":"10.3233\/ICA-190605_ref56","first-page":"347","article-title":"Tropical forest fire susceptibility mapping at the cat ba national park area, hai phong city, vietnam, using GIS-based kernel logistic regression","volume":"15","author":"Bui","year":"2016","journal-title":"Remote Sens"},{"issue":"3","key":"10.3233\/ICA-190605_ref57","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1007\/s11156-014-0476-y","article-title":"Analysing corporate insolvency in the gulf cooperation council using logistic regression and multidimensional scaling","volume":"46","author":"Khoja","year":"2016","journal-title":"Rev Quant Financ Account"},{"key":"10.3233\/ICA-190605_ref58","doi-asserted-by":"crossref","unstructured":"Yuan ZW, Zhang J. Feature extraction and image retrieval based on alexNet. Proceedings of SPIE. 2016; 10033: 100330E.","DOI":"10.1117\/12.2243849"},{"key":"10.3233\/ICA-190605_ref59","doi-asserted-by":"crossref","unstructured":"Xiao LS, Yan Q, Deng SY, editors. Scene classification with improved alexNet model. 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE); NanJing, PEOPLES R CHINA: IEEE. 2017; 57-62.","DOI":"10.1109\/ISKE.2017.8258820"}],"container-title":["Integrated Computer-Aided Engineering"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/ICA-190605","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:14:17Z","timestamp":1777454057000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/ICA-190605"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,11]]},"references-count":59,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.3233\/ica-190605","relation":{},"ISSN":["1069-2509","1875-8835"],"issn-type":[{"value":"1069-2509","type":"print"},{"value":"1875-8835","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,9,11]]}}}