{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T05:14:18Z","timestamp":1778822058964,"version":"3.51.4"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,5,5]],"date-time":"2027-05-05T00:00:00Z","timestamp":1809475200000},"content-version":"am","delay-in-days":308,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers in Biology and Medicine"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.compbiomed.2026.111719","type":"journal-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T16:41:17Z","timestamp":1777999277000},"page":"111719","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["A two-step temporal data augmentation and supervised learning framework for predicting autism diagnosis at 36\u202fmonths in patients with tuberous sclerosis complex"],"prefix":"10.1016","volume":"210","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-1997-0893","authenticated-orcid":false,"given":"Cancan","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Runqiu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jamie K.","family":"Capal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siddharth","family":"Srivastava","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajna","family":"Filip-Dhima","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E. Martina","family":"Bebin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Darcy A.","family":"Krueger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hope","family":"Northrup","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joyce Y.","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon K.","family":"Warfield","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mustafa","family":"Sahin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1574-198X","authenticated-orcid":false,"given":"Bo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"10146","key":"10.1016\/j.compbiomed.2026.111719_bib1","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1016\/S0140-6736(18)31129-2","article-title":"Autism spectrum disorder","volume":"392","author":"Lord","year":"2018","journal-title":"The lancet"},{"issue":"12","key":"10.1016\/j.compbiomed.2026.111719_bib2","doi-asserted-by":"crossref","first-page":"1590","DOI":"10.1038\/s41431-024-01631-w","article-title":"Diagnosis of tuberous sclerosis in the prenatal period: a retrospective study of 240 cases and review of the literature","volume":"32","author":"Milon","year":"2024","journal-title":"Eur. J. Hum. Genet."},{"key":"10.1016\/j.compbiomed.2026.111719_bib3","doi-asserted-by":"crossref","first-page":"874","DOI":"10.1002\/ana.26249","article-title":"Profile of autism spectrum disorder in Tuberous sclerosis complex: results from a longitudinal, prospective, multisite study","volume":"90","author":"Capal","year":"2021","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.compbiomed.2026.111719_bib4","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1177\/08830738040190090701","article-title":"Autism and tuberous sclerosis","volume":"19","author":"Wiznitzer","year":"2004","journal-title":"J. Child Neurol."},{"key":"10.1016\/j.compbiomed.2026.111719_bib5","first-page":"154","article-title":"Autism spectrum disorder in Tuberous sclerosis complex: searching for risk markers, Orphanet J","volume":"10","author":"Vignoli","year":"2015","journal-title":"Rare Dis."},{"key":"10.1016\/j.compbiomed.2026.111719_bib6","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/S0006-3495(94)80775-1","article-title":"MR diffusion tensor spectroscopy and imaging","volume":"66","author":"Basser","year":"1994","journal-title":"Biophys. J."},{"key":"10.1016\/j.compbiomed.2026.111719_bib7","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1148\/radiology.201.3.8939209","article-title":"Diffusion tensor MR imaging of the human brain","volume":"201","author":"Pierpaoli","year":"1996","journal-title":"Radiology"},{"key":"10.1016\/j.compbiomed.2026.111719_bib8","doi-asserted-by":"crossref","first-page":"1526","DOI":"10.1093\/cercor\/bhs135","article-title":"Impaired language pathways in Tuberous sclerosis complex patients with autism spectrum disorders","volume":"23","author":"Lewis","year":"2013","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.compbiomed.2026.111719_bib9","doi-asserted-by":"crossref","first-page":"3665","DOI":"10.1093\/cercor\/bhx247","article-title":"Corpus callosum white matter diffusivity reflects cumulative neurological comorbidity in Tuberous sclerosis complex","volume":"28","author":"Baumer","year":"2018","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.compbiomed.2026.111719_bib10","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2020.582891","article-title":"Prediction of neurodevelopment in infants with Tuberous sclerosis complex using early EEG characteristics","volume":"11","author":"De Ridder","year":"2020","journal-title":"Front. Neurol."},{"key":"10.1016\/j.compbiomed.2026.111719_bib11","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0028044","article-title":"Impaired structural connectivity of socio-emotional circuits in autism spectrum disorders: a diffusion tensor imaging study","volume":"6","author":"Ameis","year":"2011","journal-title":"PLoS One"},{"key":"10.1016\/j.compbiomed.2026.111719_bib12","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1080\/17538157.2017.1399132","article-title":"Machine learning in autistic spectrum disorder behavioral research: a review and ways forward","volume":"44","author":"Thabtah","year":"2019","journal-title":"Inform. Health Soc. Care"},{"key":"10.1016\/j.compbiomed.2026.111719_bib13","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.nicl.2017.08.017","article-title":"Identification of autism spectrum disorder using deep learning and the ABIDE dataset","volume":"17","author":"Heinsfeld","year":"2017","journal-title":"NeuroImage Clin"},{"key":"10.1016\/j.compbiomed.2026.111719_bib14","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1038\/nature21369","article-title":"Early brain development in infants at high risk for autism spectrum disorder","volume":"542","author":"Hazlett","year":"2017","journal-title":"Nature"},{"key":"10.1016\/j.compbiomed.2026.111719_bib15","doi-asserted-by":"crossref","first-page":"2418","DOI":"10.1007\/s10803-018-3509-x","article-title":"BASIS team, prediction of autism at 3 years from behavioural and developmental measures in high-risk infants: a longitudinal cross-domain classifier analysis","volume":"48","author":"Bussu","year":"2018","journal-title":"J. Autism Dev. Disord."},{"key":"10.1016\/j.compbiomed.2026.111719_bib16","author":"Sahin"},{"key":"10.1016\/j.compbiomed.2026.111719_bib17","doi-asserted-by":"crossref","DOI":"10.1542\/peds.2016-4040","article-title":"Presentation and diagnosis of Tuberous sclerosis complex in infants","volume":"140","author":"Davis","year":"2017","journal-title":"Pediatrics"},{"key":"10.1016\/j.compbiomed.2026.111719_bib18","author":"Lord"},{"key":"10.1016\/j.compbiomed.2026.111719_bib19","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1007\/BF02172145","article-title":"Autism diagnostic interview-revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders","volume":"24","author":"Lord","year":"1994","journal-title":"J. Autism Dev. Disord."},{"key":"10.1016\/j.compbiomed.2026.111719_bib20","first-page":"24","article-title":"Reproducibility of structural and diffusion tensor imaging in the TACERN multi-center study, front. Integr","volume":"13","author":"Prohl","year":"2019","journal-title":"Neurosci"},{"key":"10.1016\/j.compbiomed.2026.111719_bib21","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1186\/s11689-019-9293-x","article-title":"Early white matter development is abnormal in Tuberous sclerosis complex patients who develop autism spectrum disorder","volume":"11","author":"Prohl","year":"2019","journal-title":"J. Neurodev. Disord."},{"key":"10.1016\/j.compbiomed.2026.111719_bib22","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1186\/s13229-023-00573-2","article-title":"Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain","volume":"14","author":"Huang","year":"2023","journal-title":"Mol. Autism"},{"key":"10.1016\/j.compbiomed.2026.111719_bib23","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1002\/aur.1243","article-title":"Diffusion tensor imaging in autism spectrum disorder: a review","volume":"5","author":"Travers","year":"2012","journal-title":"Autism Res."},{"key":"10.1016\/j.compbiomed.2026.111719_bib24","doi-asserted-by":"crossref","first-page":"191298","DOI":"10.1109\/ACCESS.2020.3032066","article-title":"Computer aided autism diagnosis using diffusion tensor imaging","volume":"8","author":"Elnakieb","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.compbiomed.2026.111719_bib25","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1007\/s10803-008-0674-3","article-title":"Standardizing ADOS scores for a measure of severity in autism spectrum disorders","volume":"39","author":"Gotham","year":"2009","journal-title":"J. Autism Dev. Disord."},{"key":"10.1016\/j.compbiomed.2026.111719_bib26","doi-asserted-by":"crossref","first-page":"2400","DOI":"10.1007\/s10803-012-1719-1","article-title":"Standardizing ADOS domain scores: separating severity of social affect and restricted and repetitive behaviors","volume":"44","author":"Hus","year":"2014","journal-title":"J. Autism Dev. Disord."},{"key":"10.1016\/j.compbiomed.2026.111719_bib27","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1023\/A:1005592401947","article-title":"The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism","volume":"30","author":"Lord","year":"2000","journal-title":"J. Autism Dev. Disord."},{"key":"10.1016\/j.compbiomed.2026.111719_bib28","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the Lasso","volume":"58","author":"Tibshirani","year":"1996","journal-title":"J. R. Stat. Soc. B"},{"key":"10.1016\/j.compbiomed.2026.111719_bib29","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou","year":"2005","journal-title":"J. R. Stat. Soc. B"},{"key":"10.1016\/j.compbiomed.2026.111719_bib30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v033.i01","article-title":"Regularization paths for generalized linear models via coordinate descent","volume":"33","author":"Friedman","year":"2010","journal-title":"J. Stat. Softw."},{"key":"10.1016\/j.compbiomed.2026.111719_bib31","series-title":"Proceedings of 3rd International Conference on Document Analysis and Recognition","article-title":"Random decision forests","author":"Ho","year":"1995"},{"issue":"7","key":"10.1016\/j.compbiomed.2026.111719_bib32","first-page":"579","article-title":"Multilayer perceptron and neural networks","volume":"8","author":"Popescu","year":"2009","journal-title":"WSEAS Trans. Circuits Syst."},{"issue":"5","key":"10.1016\/j.compbiomed.2026.111719_bib33","doi-asserted-by":"crossref","DOI":"10.1002\/jdn.70034","article-title":"Electromagnetic Interaction Algorithm (EIA)-based feature selection with adaptive kernel attention network (AKAttNet) for autism spectrum disorder classification","volume":"85","author":"Banerjee","year":"2025","journal-title":"Int. J. Dev. Neurosci."},{"key":"10.1016\/j.compbiomed.2026.111719_bib34","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-025-11574-x","article-title":"Pyramidal attention-based T network for brain tumor classification: a comprehensive analysis of transfer learning approaches for clinically reliable AI hybrid models","volume":"15","author":"Banerjee","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.compbiomed.2026.111719_bib35","article-title":"Towards accurate and interpretable brain tumor diagnosis: t-fspannet with tri-attribute and pyramidal attention-based feature fusion","volume":"108","author":"Pacal","year":"2025","journal-title":"Biomed. Signal Process Control"},{"issue":"1","key":"10.1016\/j.compbiomed.2026.111719_bib36","article-title":"Conditional generative adversarial network approach for autism prediction","volume":"44","author":"Raja","year":"2023","journal-title":"Comput. Syst. Sci. Eng."},{"issue":"1","key":"10.1016\/j.compbiomed.2026.111719_bib37","first-page":"797","article-title":"Deep learning-based feature selection and prediction system for autism spectrum disorder using a hybrid meta-heuristics approach","volume":"45","author":"Chola Raja","year":"2023","journal-title":"J. Intell. Fuzzy Syst."},{"key":"10.1016\/j.compbiomed.2026.111719_bib38","series-title":"A Comprehensive Analysis of Autism Spectrum Disorder Using Machine Learning Algorithms: Survey. InInternational Conference on Power Engineering and Intelligent Systems (PEIS)","first-page":"241","author":"Aarthi","year":"2023"}],"container-title":["Computers in Biology and Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0010482526002830?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0010482526002830?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T04:49:04Z","timestamp":1778820544000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0010482526002830"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":38,"alternative-id":["S0010482526002830"],"URL":"https:\/\/doi.org\/10.1016\/j.compbiomed.2026.111719","relation":{},"ISSN":["0010-4825"],"issn-type":[{"value":"0010-4825","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A two-step temporal data augmentation and supervised learning framework for predicting autism diagnosis at 36\u202fmonths in patients with tuberous sclerosis complex","name":"articletitle","label":"Article Title"},{"value":"Computers in Biology and Medicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compbiomed.2026.111719","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"111719"}}