{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T18:29:39Z","timestamp":1750271379124,"version":"3.37.3"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T00:00:00Z","timestamp":1723075200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T00:00:00Z","timestamp":1723075200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-024-03109-4","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T07:02:33Z","timestamp":1723100553000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Adding Dimensionality Reduction analysis of Texture descriptors for Tourette\u2019s Syndrome classification"],"prefix":"10.1007","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2452-8128","authenticated-orcid":false,"given":"Murilo Costa","family":"de Barros","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kau\u00ea Tartarotti Nepomuceno","family":"Duarte","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wang-Tso","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chia-Jui","family":"Hsu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco Antonio Garcia","family":"de Carvalho","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,8]]},"reference":[{"key":"3109_CR1","doi-asserted-by":"crossref","unstructured":"Atkinson-Clement C, Liege A, klein koerkamp Y, B\u00e9ranger B, Valabregue R, Delorme C, Roze E, Fernandez-Egea E, Hartmann A, Robbins T, Yulia W. The sooner the better: clinical and neural correlates of impulsive choice in tourette disorder. Translational Psychiatry 11 2021;11, DOI:https:\/\/doi.org\/h10.1038\/s41398-021-01691-2","DOI":"10.1038\/s41398-021-01691-2"},{"key":"3109_CR2","doi-asserted-by":"publisher","unstructured":"Biagetti G, Crippa P, Falaschetti L, Luzzi S, Turchetti C. Classification of alzheimers disease from eeg signal using robust-pca feature extraction. In: Procedia Computer Science 192, 2021;3114\u20133122 knowledge-Based and Intelligent Information and Engineering Systems: Proceedings of the 25th International Conference KES2021 https:\/\/doi.org\/10.1016\/j.procs.2021.09.084, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1877050921018214,","DOI":"10.1016\/j.procs.2021.09.084"},{"key":"3109_CR3","doi-asserted-by":"publisher","first-page":"4041","DOI":"10.1038\/s41598-017-04151-4","volume":"7","author":"P Brynolfsson","year":"2017","unstructured":"Brynolfsson P, Nilsson D, Torheim T, Asklund T, Thellenberg-Karlsson C, Trygg J, Nyholm T, Garpebring A. Haralick texture features from apparent diffusion coefficient (ADC) MRI images depend on imaging and pre-processing parameters. Sci Rep. 2017;7:4041. https:\/\/doi.org\/10.1038\/s41598-017-04151-4.","journal-title":"Sci Rep."},{"key":"3109_CR4","doi-asserted-by":"publisher","unstructured":"Cai JH, He Y, Zhong XL, Lei H, Wang F, Luo GH, Zhao H, Liu JC. Magnetic resonance texture analysis in Alzheimer\u2019s disease. Acad Radiol. 2020;27:1774\u201383. https:\/\/doi.org\/10.1016\/j.acra.2020.01.006, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1076633220300337","DOI":"10.1016\/j.acra.2020.01.006"},{"key":"3109_CR5","doi-asserted-by":"publisher","unstructured":"Cope J, Baukmann H, Klinger J, Ravarani C, B\u00f6ttinger E, Konigorski S, Schmidt M. Interaction-based feature selection algorithm outperforms polygenic risk score in predicting parkinson\u2019s disease status. Front Genet. 10 2021;12, 744557. https:\/\/doi.org\/10.3389\/fgene.2021.744557","DOI":"10.3389\/fgene.2021.744557"},{"key":"3109_CR6","doi-asserted-by":"crossref","unstructured":"Costa De Barros M, Duarte K, Lee W, Hsu C, Garcia De Carvalho M. Detecting tourette\u2019s syndrome in anatomical regions of the brain through mri analysis and naive bayes classifier. In: Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - IMPROVE,. 2022;pp. 26\u201333. INSTICC, SciTePress, DOI:https:\/\/doi.org\/10.5220\/0011056800003209","DOI":"10.5220\/0011056800003209"},{"key":"3109_CR7","doi-asserted-by":"crossref","unstructured":"Duarte K, Paiva P, Martins P, Carvalho M. Predicting the early stages of the alzheimer\u2019s disease via combined brain multi-projections and small datasets (02 2019), DOI:https:\/\/doi.org\/10.5220\/0007404705530560","DOI":"10.5220\/0007404705530560"},{"key":"3109_CR8","doi-asserted-by":"publisher","unstructured":"Erickson B J, Korfiatis P, Akkus Z, Kline T L. Machine learning for medical imaging. RadioGraphics 2017;37(2), 505\u2013515. pMID: 28212054 https:\/\/doi.org\/10.1148\/rg.2017160130, DOI:https:\/\/doi.org\/10.1148\/rg.2017160130,","DOI":"10.1148\/rg.2017160130"},{"key":"3109_CR9","doi-asserted-by":"crossref","unstructured":"Feng W, Sun J, Zhang L, Cao C, Yang Q. A support vector machine based naive bayes algorithm for spam filtering 2016;pp.\u00a01\u20138, DOI:https:\/\/doi.org\/10.1109\/PCCC.2016.7820655","DOI":"10.1109\/PCCC.2016.7820655"},{"key":"3109_CR10","doi-asserted-by":"publisher","unstructured":"Fischl B, Salat D, Busa E, Albert M, Dieterich M, Haselgrove C, Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale A. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 02 2002;33, 341\u201355 , https:\/\/doi.org\/10.1016\/S0896-6273(02)00569","DOI":"10.1016\/S0896-6273(02)00569"},{"issue":"3","key":"3109_CR11","doi-asserted-by":"publisher","first-page":"195","DOI":"10.2174\/1389202923666220511162038","volume":"23","author":"A Ganjiwale","year":"2022","unstructured":"Ganjiwale A, Karthik KV, Rajalingam A, Shivashankar M. Recursive feature elimination-based biomarker identification for openneural tube defects. Curr Genomics. 2022;23(3):195\u2013206. https:\/\/doi.org\/10.2174\/1389202923666220511162038.","journal-title":"Curr Genomics"},{"issue":"4","key":"3109_CR12","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1111\/desc.12407","volume":"19","author":"DJ Greene","year":"2016","unstructured":"Greene DJ, Church JA, Dosenbach NU, Nielsen AN, Adeyemo B, Nardos B, Petersen SE, Black KJ, Schlaggar BL. Multivariate pattern classification of pediatric tourette syndrome using functional connectivity mri. Dev Sci. 2016;19(4):581\u201398. https:\/\/doi.org\/10.1111\/desc.12407.","journal-title":"Dev Sci."},{"key":"3109_CR13","unstructured":"Hase P, Xie H, Bansal M. The out-of-distribution problem in explainability and search methods for feature importance explanations 2021;"},{"key":"3109_CR14","doi-asserted-by":"crossref","unstructured":"Hongwei W, Yue L, Jieqiong W, Jishui Z, Yun P, Huiguang H. Using support vector machines with tract-based spatial statistics for automated classification of tourette syndrome children. Medical Imaging 2016: Computer-Aided Diagnosis 2016;9785, 704 \u2013 712 , DOI:https:\/\/doi.org\/10.1117\/12.2216647","DOI":"10.1117\/12.2216647"},{"key":"3109_CR15","doi-asserted-by":"publisher","unstructured":"Huang S C, Pareek A, Jensen M, Lungren M, Yeung S, Chaudhari A. Self-supervised learning for medical image classification: a systematic review and implementation guidelines. npj Digital Medicine 04 2023;6 . https:\/\/doi.org\/10.1038\/s41746-023-00811-0","DOI":"10.1038\/s41746-023-00811-0"},{"key":"3109_CR16","doi-asserted-by":"publisher","unstructured":"Javaid M, Haleem A, Pratap Singh R, Suman R, Rab S. Significance of machine learning in healthcare: Features, pillars and applications. Int J Intell Netw. 2022;3:58\u201373. https:\/\/doi.org\/10.1016\/j.ijin.2022.05.002. , https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2666603022000069","DOI":"10.1016\/j.ijin.2022.05.002"},{"key":"3109_CR17","unstructured":"Kao M Y. encyclopedia of algorithms 2008; iSBN 978-0-387-30162-4"},{"key":"3109_CR18","doi-asserted-by":"publisher","unstructured":"Keerthi Vasan K, Surendiran B. Dimensionality reduction using principal component analysis for network intrusion detection. Persp Sci. 2016; 8, 510\u2013512. recent Trends in Engineering and Material Sciences https:\/\/doi.org\/10.1016\/j.pisc.2016.05.010, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2213020916301446,","DOI":"10.1016\/j.pisc.2016.05.010"},{"issue":"4","key":"3109_CR19","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1016\/j.jocrd.2014.03.004","volume":"3","author":"JF Leckman","year":"2014","unstructured":"Leckman JF, King RA, Bloch MH. Clinical features of tourette syndrome and tic disorders. J Obsessive Compuls Relat Disord. 2014;3(4):372\u20139. https:\/\/doi.org\/10.1016\/j.jocrd.2014.03.004.","journal-title":"J Obsessive Compuls Relat Disord."},{"key":"3109_CR20","doi-asserted-by":"publisher","unstructured":"Luo Q, Liu W, Jin L, Chang C, Peng Z. Classification of obsessive-compulsive disorder using distance correlation on resting-state functional mri images. Frontiers in Neuroinformatics 2021;15. https:\/\/doi.org\/10.3389\/fninf.2021.676491","DOI":"10.3389\/fninf.2021.676491"},{"key":"3109_CR21","doi-asserted-by":"crossref","unstructured":"Marceglia S, Prenassi M, Galbiati T F, Porta M, Zekaj E, Priori A, Servello D. Thalamic local field potentials are related to long-term dbs effects in tourette syndrome. Front Neurol. 2021;12, DOI:https:\/\/doi.org\/10.3389\/fneur.2021.578324","DOI":"10.3389\/fneur.2021.578324"},{"key":"3109_CR22","doi-asserted-by":"publisher","unstructured":"Naji M A, Filali S E, Bouhlal M, Benlahmar E H, Abdelouhahid R A, Debauche O. Breast cancer prediction and diagnosis through a new approach based on majority voting ensemble classifier. Procedia Computer Science 2021;191, 481\u2013486. the 18th International Conference on Mobile Systems and Pervasive Computing (MobiSPC), The 16th International Conference on Future Networks and Communications (FNC), The 11th International Conference on Sustainable Energy Information Technology https:\/\/doi.org\/10.1016\/j.procs.2021.07.061, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1877050921014617,","DOI":"10.1016\/j.procs.2021.07.061"},{"key":"3109_CR23","unstructured":"Pedrini H, Schwartz W. An\u00e1lise de imagens digitais: princ\u00edpios, algoritmos e aplica\u00e7o\u0327es. THOMSON PIONEIRA 2008;"},{"issue":"3","key":"3109_CR24","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1093\/brain\/123.3.425","volume":"123","author":"MM Robertson","year":"2000","unstructured":"Robertson MM. Tourette syndrome, associated conditions and the complexities of treatment. Brain 03. 2000;123(3):425\u201362. https:\/\/doi.org\/10.1093\/brain\/123.3.425.","journal-title":"Brain 03"},{"key":"3109_CR25","doi-asserted-by":"crossref","unstructured":"Sarwinda D, Arymurthy A M. Feature selection using kernel pca for alzheimer\u2019s disease detection with 3d mr images of brain. In: 2013 International Conference on Advanced Computer Science and Information Systems (ICACSIS). 2013; pp. 329\u2013333, DOI:https:\/\/doi.org\/10.1109\/ICACSIS.2013.6761597","DOI":"10.1109\/ICACSIS.2013.6761597"},{"key":"3109_CR26","doi-asserted-by":"crossref","unstructured":"Shi D, Zhang H, Wang G, Wang S, Yao X, Li Y, Guo Q, Zheng S, Ren K. Machine learning for detecting parkinson\u2019s disease by resting-state functional magnetic resonance imaging: A multicenter radiomics analysis. Front Aging Neurosci.2022; 14, DOI:https:\/\/doi.org\/10.3389\/fnagi.2022.806828","DOI":"10.3389\/fnagi.2022.806828"},{"key":"3109_CR27","doi-asserted-by":"crossref","unstructured":"van G J M, Fedorov A Parmar C, Hosny A, Aucoin N, Narayan V, Beets-Tan R G H, Fillon-Robin JC, Pieper S, Aerts H J W L. Computational radiomics system to decode the radiographic phenotype. Pyradiomics 2017; DOI:https:\/\/doi.org\/10.1158\/0008-5472.CAN-17-0339","DOI":"10.1158\/0008-5472.CAN-17-0339"},{"issue":"3","key":"3109_CR28","doi-asserted-by":"publisher","first-page":"520","DOI":"10.2214\/AJR.18.20624","volume":"212","author":"BA Varghese","year":"2019","unstructured":"Varghese BA, Cen SY, Hwang DH, Duddalwar VA. Texture analysis of imaging: What radiologists need to know. Am J Roentgenol. 2019;212(3):520\u20138. https:\/\/doi.org\/10.2214\/AJR.18.20624.","journal-title":"Am J Roentgenol."},{"key":"3109_CR29","doi-asserted-by":"crossref","unstructured":"Wong L C, Huang H L, Weng W C, Jong Y J, Yin Y J, Chen H A, Lee W T, Ho S Y. Increased risk of epilepsy in children with tourette syndrome: a population-based case-control study. Res Dev Disabil. 2016; pp. 51\u201352 , http:\/\/ntur.lib.ntu.edu.tw\/handle\/246246\/281223","DOI":"10.1016\/j.ridd.2015.10.005"},{"key":"3109_CR30","doi-asserted-by":"publisher","first-page":"2160","DOI":"10.1016\/j.proeng.2011.08.404","volume":"15","author":"W Zhang","year":"2011","unstructured":"Zhang W, Gao F. An improvement to naive bayes for text classification. Procedia Eng. 2011;15:2160\u20134. https:\/\/doi.org\/10.1016\/j.proeng.2011.08.404. (cEIS 2011).","journal-title":"Procedia Eng."},{"key":"3109_CR31","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.3389\/fnins.2018.01045","volume":"12","author":"H Zhou","year":"2019","unstructured":"Zhou H, Jiang J, Lu J, Min W, Zhang H, Zuo C. Dual-model radiomic biomarkers predict development of mild cognitive impairment progression to alzheimer\u2019s disease. Front Neurosci. 2019;12:1045. https:\/\/doi.org\/10.3389\/fnins.2018.01045.","journal-title":"Front Neurosci."}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-03109-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-024-03109-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-03109-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T07:03:43Z","timestamp":1723100623000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-024-03109-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,8]]},"references-count":31,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,8]]}},"alternative-id":["3109"],"URL":"https:\/\/doi.org\/10.1007\/s42979-024-03109-4","relation":{},"ISSN":["2661-8907"],"issn-type":[{"type":"electronic","value":"2661-8907"}],"subject":[],"published":{"date-parts":[[2024,8,8]]},"assertion":[{"value":"31 August 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 August 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This study was approved by the institutional review board at the National Taiwan University Hospital, Taipei, Taiwan (201503062RIND) and all the study procedure followed the content of this approval and the regular medical regulation.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Committee"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}],"article-number":"775"}}