{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,7]],"date-time":"2026-11-07T13:37:40Z","timestamp":1794058660558,"version":"4.8.0"},"reference-count":62,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":366,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100000066","name":"National Institute of Environmental Health Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000030","name":"Centers for Disease Control and Prevention","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000030","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000060","name":"National Institute of Allergy and Infectious Diseases","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000060","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000901","name":"Juvenile Diabetes Research Foundation International","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000901","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["UL1TR002538"],"award-info":[{"award-number":["UL1TR002538"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017618","name":"NIDDK Division of Diabetes Endocrinology and Metabolic Diseases","doi-asserted-by":"publisher","award":["F30DK134113"],"award-info":[{"award-number":["F30DK134113"]}],"id":[{"id":"10.13039\/100017618","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Biomedical Informatics"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1016\/j.jbi.2023.104385","type":"journal-article","created":{"date-parts":[[2023,5,9]],"date-time":"2023-05-09T02:05:10Z","timestamp":1683597910000},"page":"104385","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":9,"special_numbering":"C","title":["Sequential data mining of infection patterns as predictors for onset of type 1 diabetes in genetically at-risk individuals"],"prefix":"10.1016","volume":"142","author":[{"given":"Sejal","family":"Mistry","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramkiran","family":"Gouripeddi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vandana","family":"Raman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julio C.","family":"Facelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jbi.2023.104385_b0005","article-title":"4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Care in Diabetes\u20142023","volume":"46","author":"ElSayed","year":"2022","journal-title":"Diabetes Care"},{"issue":"7","key":"10.1016\/j.jbi.2023.104385_b0010","doi-asserted-by":"crossref","first-page":"926","DOI":"10.1111\/pedi.13392","article-title":"A centennial review of discoveries and advances in diabetes: Children and youth","volume":"23","author":"Mistry","year":"2022","journal-title":"Pediatric Diabetes."},{"key":"10.1016\/j.jbi.2023.104385_b0015","doi-asserted-by":"crossref","unstructured":"Bommer C, Sagalova V, Heesemann E, Manne-Goehler J, Atun R, B\u00e4rnighausen T, et al. Global Economic Burden of Diabetes in Adults: Projections From 2015 to 2030. Diabetes Care. 2018;41(5):963-70. Epub 2018022doi: 10.2337\/dc17-1962. PubMed PMID: 29475843.","DOI":"10.2337\/dc17-1962"},{"key":"10.1016\/j.jbi.2023.104385_b0020","doi-asserted-by":"crossref","unstructured":"Economic Costs of Diabetes in the U.S. in 2017. Diabetes Care. 2018;41(5):917-28. Epub 20180322. doi: 10.2337\/dci18-0007. PubMed PMID: 29567642; PubMed Central PMCID: PMC5911784.","DOI":"10.2337\/dci18-0007"},{"key":"10.1016\/j.jbi.2023.104385_b0025","article-title":"Understanding and Assessing Diabetes-Specific Quality of Life","author":"Polonsky","year":"2000","journal-title":"Diabetes Spectrum."},{"key":"10.1016\/j.jbi.2023.104385_b0030","doi-asserted-by":"crossref","unstructured":"T\u00f6nnies T, Brinks R, Isom S, Dabelea D, Divers J, Mayer-Davis EJ, et al. Projections of Type 1 and Type 2 Diabetes Burden in the U.S. Population Aged &lt;20 Years Through 2060: The SEARCH for Diabetes in Youth Study. Diabetes Care. 2022. doi: 10.2337\/dc22-0945.","DOI":"10.2337\/figshare.21514014.v1"},{"issue":"10","key":"10.1016\/j.jbi.2023.104385_b0035","doi-asserted-by":"crossref","first-page":"1964","DOI":"10.2337\/dc15-1419","article-title":"Staging presymptomatic type 1 diabetes: a scientific statement of JDRF, the Endocrine Society, and the American Diabetes Association","volume":"38","author":"Insel","year":"2015","journal-title":"Diabetes Care"},{"issue":"3","key":"10.1016\/j.jbi.2023.104385_b0040","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1007\/s00125-022-05843-x","article-title":"Stratifying risk for onset of type 1 diabetes using islet autoantibody trajectory clustering","volume":"66","author":"Mistry","year":"2023","journal-title":"Diabetologia."},{"issue":"8","key":"10.1016\/j.jbi.2023.104385_b0045","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1172\/JCI200114235","article-title":"Mechanisms for the induction of autoimmunity by infectious agents","volume":"108","author":"Wucherpfennig","year":"2001","journal-title":"J Clin Invest."},{"key":"10.1016\/j.jbi.2023.104385_b0050","doi-asserted-by":"crossref","unstructured":"Kivity S, Agmon-Levin N, Blank M, Shoenfeld Y. Infections and autoimmunity--friends or foes? Trends Immunol. 2009;30(8):409-14. Epub 20090728. doi: 10.1016\/j.it.2009.05.005. PubMed PMID: 19643667.","DOI":"10.1016\/j.it.2009.05.005"},{"issue":"5870","key":"10.1016\/j.jbi.2023.104385_b0055","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1136\/bmj.3.5870.25","article-title":"Diabetes in mice after Coxsackie B 4 virus infection","volume":"3","author":"Coleman","year":"1973","journal-title":"Br Med J."},{"issue":"4","key":"10.1016\/j.jbi.2023.104385_b0060","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/BF03401920","article-title":"T-cell epitopes in type 1 diabetes autoantigen tyrosine phosphatase IA-2: potential for mimicry with rotavirus and other environmental agents","volume":"4","author":"Honeyman","year":"1998","journal-title":"Mol Med."},{"key":"10.1016\/j.jbi.2023.104385_b0065","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1111\/j.1749-6632.2002.tb02961.x","article-title":"Molecular mimicry in type 1 diabetes: immune cross-reactivity between islet autoantigen and human cytomegalovirus but not Coxsackie virus","volume":"958","author":"Roep","year":"2002","journal-title":"Ann N Y Acad Sci."},{"issue":"5","key":"10.1016\/j.jbi.2023.104385_b0070","doi-asserted-by":"crossref","first-page":"2125","DOI":"10.1172\/JCI117567","article-title":"Cellular immunity to a determinant common to glutamate decarboxylase and coxsackie virus in insulin-dependent diabetes","volume":"94","author":"Atkinson","year":"1994","journal-title":"J Clin Invest."},{"issue":"3","key":"10.1016\/j.jbi.2023.104385_b0075","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1002\/jmv.2151","article-title":"Enterovirus infection can induce immune responses that cross-react with beta-cell autoantigen tyrosine phosphatase IA-2\/IAR","volume":"66","author":"H\u00e4rk\u00f6nen","year":"2002","journal-title":"J Med Virol."},{"key":"10.1016\/j.jbi.2023.104385_b0080","doi-asserted-by":"crossref","unstructured":"Yeung WC, Rawlinson WD, Craig ME. Enterovirus infection and type 1 diabetes mellitus: systematic review and meta-analysis of observational molecular studies. Bmj. 2011;342:d35. Epub 20110203. doi: 10.1136\/bmj.d35. PubMed PMID: 21292721; PubMed Central PMCID: PMC3033438.","DOI":"10.1136\/bmj.d35"},{"issue":"8601","key":"10.1016\/j.jbi.2023.104385_b0085","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0140-6736(88)92941-8","article-title":"Association of cytomegalovirus infection with autoimmune type 1 diabetes","volume":"2","author":"Pak","year":"1988","journal-title":"Lancet"},{"key":"10.1016\/j.jbi.2023.104385_b0090","doi-asserted-by":"crossref","unstructured":"Zanone MM, Favaro E, Quadri R, Miceli I, Giaretta F, Romagnoli R, et al. Association of cytomegalovirus infections with recurrence of humoral and cellular autoimmunity to islet autoantigens and of type 1 diabetes in a pancreas transplanted patient. Transpl Int. 2010;23(3):333-7. Epub 20091109. doi: 10.1111\/j.1432-2277.2009.00994.x. PubMed PMID: 19906032.","DOI":"10.1111\/j.1432-2277.2009.00994.x"},{"issue":"5","key":"10.1016\/j.jbi.2023.104385_b0095","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1007\/s00125-008-0945-8","article-title":"Cytomegalovirus infection in early infancy: risk of induction and progression of autoimmunity associated with type 1 diabetes","volume":"51","author":"Aarnisalo","year":"2008","journal-title":"Diabetologia."},{"issue":"8","key":"10.1016\/j.jbi.2023.104385_b0100","doi-asserted-by":"crossref","first-page":"1319","DOI":"10.2337\/diabetes.49.8.1319","article-title":"Association between rotavirus infection and pancreatic islet autoimmunity in children at risk of developing type 1 diabetes","volume":"49","author":"Honeyman","year":"2000","journal-title":"Diabetes."},{"issue":"3","key":"10.1016\/j.jbi.2023.104385_b0105","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1046\/j.1365-2249.2002.01842.x","article-title":"Rotavirus infections and development of diabetes-associated autoantibodies during the first 2 years of life","volume":"128","author":"Blomqvist","year":"2002","journal-title":"Clin Exp Immunol."},{"key":"10.1016\/j.jbi.2023.104385_b0110","doi-asserted-by":"crossref","unstructured":"Barrett CE, Koyama AK, Alvarez P, Chow W, Lundeen EA, Perrine CG, et al. Risk for Newly Diagnosed Diabetes >30 Days After SARS-CoV-2 Infection Among Persons Aged <18 Years - United States, March 1, 2020-June 28, 2021. MMWR Morb Mortal Wkly Rep. 2022;71(2):59-65. Epub 20220114. doi: 10.15585\/mmwr.mm7102e2. PubMed PMID: 35025851; PubMed Central PMCID: PMC8757617.","DOI":"10.15585\/mmwr.mm7102e2"},{"issue":"12","key":"10.1016\/j.jbi.2023.104385_b0115","doi-asserted-by":"crossref","first-page":"1252","DOI":"10.1001\/jama.2022.14092","article-title":"SARS-CoV-2 Infections and Presymptomatic Type 1 Diabetes Autoimmunity in Children and Adolescents From Colorado, USA, and Bavaria","volume":"328","author":"Rewers","year":"2022","journal-title":"Germany. JAMA."},{"key":"10.1016\/j.jbi.2023.104385_b0120","article-title":"Data-driven identification of temporal glucose patterns in a large cohort of nondiabetic patients with COVID-19 using time-series clustering","volume":"4(3):ooab063. Epub 20210715","author":"Mistry","year":"2021","journal-title":"JAMIA Open."},{"issue":"8","key":"10.1016\/j.jbi.2023.104385_b0125","doi-asserted-by":"crossref","first-page":"1314","DOI":"10.2337\/diabetes.49.8.1314","article-title":"Enterovirus infection as a risk factor for beta-cell autoimmunity in a prospectively observed birth cohort: the Finnish Diabetes Prediction and Prevention Study","volume":"49","author":"L\u00f6nnrot","year":"2000","journal-title":"Diabetes"},{"key":"10.1016\/j.jbi.2023.104385_b0130","doi-asserted-by":"crossref","unstructured":"L\u00f6nnrot M, Lynch KF, Elding Larsson H, Lernmark \u00c5, Rewers MJ, T\u00f6rn C, et al. Respiratory infections are temporally associated with initiation of type 1 diabetes autoimmunity: the TEDDY study. Diabetologia. 2017;60(10):1931-40. Epub 20170802. doi: 10.1007\/s00125-017-4365-5. PubMed PMID: 28770319; PubMed Central PMCID: PMC5697762.","DOI":"10.1007\/s00125-017-4365-5"},{"key":"10.1016\/j.jbi.2023.104385_b0135","doi-asserted-by":"crossref","unstructured":"Kordonouri O, Cuthbertson D, Belteky M, Aschemeier-Fuchs B, White NH, Cummings E, et al. Infections in the first year of life and development of beta cell autoimmunity and clinical type 1 diabetes in high-risk individuals: the TRIGR cohort. Diabetologia. 2022;65(12):2098-107. Epub 20220909. doi: 10.1007\/s00125-022-05786-3. PubMed PMID: 36083343; PubMed Central PMCID: PMC9630400.","DOI":"10.1007\/s00125-022-05786-3"},{"issue":"17","key":"10.1016\/j.jbi.2023.104385_b0140","doi-asserted-by":"crossref","first-page":"1899","DOI":"10.1001\/jama.2016.2181","article-title":"Infections in Early Life and Development of Type 1 Diabetes","volume":"315","author":"Beyerlein","year":"2016","journal-title":"JAMA"},{"issue":"5","key":"10.1016\/j.jbi.2023.104385_b0145","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1023\/A:1024256305963","article-title":"Infections and risk of type I diabetes in childhood: a population-based case-control study","volume":"18","author":"Altobelli","year":"2003","journal-title":"Eur J Epidemiol."},{"issue":"1","key":"10.1016\/j.jbi.2023.104385_b0150","first-page":"54","article-title":"A survey of sequential pattern mining","volume":"1","author":"Fournier-Viger","year":"2017","journal-title":"Data Science and Pattern Recognition."},{"issue":"1","key":"10.1016\/j.jbi.2023.104385_b0155","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1824795.1824798","article-title":"A taxonomy of sequential pattern mining algorithms","volume":"43","author":"Mabroukeh","year":"2010","journal-title":"ACM Computing Surveys (CSUR)."},{"key":"10.1016\/j.jbi.2023.104385_b0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2019.105241","article-title":"Mining cost-effective patterns in event logs","volume":"191","author":"Fournier-Viger","year":"2020","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.jbi.2023.104385_b0165","article-title":"Mining sequential patterns with flexible constraints from MOOC data","volume":"1\u201317","author":"Song","year":"2022","journal-title":"Appl. Intell."},{"key":"10.1016\/j.jbi.2023.104385_b0170","doi-asserted-by":"crossref","unstructured":"Fournier-Viger P, Wu C-W, Tseng VS, Nkambou R, editors. Mining sequential rules common to several sequences with the window size constraint. Advances in Artificial Intelligence: 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Toronto, ON, Canada, May 28-30, 2012 Proceedings 25; 2012: Springer.","DOI":"10.1007\/978-3-642-30353-1_27"},{"issue":"3","key":"10.1016\/j.jbi.2023.104385_b0175","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3314107","article-title":"A survey of parallel sequential pattern mining","volume":"13","author":"Gan","year":"2019","journal-title":"ACM Transactions on Knowledge Discovery from Data (TKDD)"},{"key":"10.1016\/j.jbi.2023.104385_b0180","doi-asserted-by":"crossref","unstructured":"Srikant R, Agrawal R, editors. Mining sequential patterns: Generalizations and performance improvements. Advances in Database Technology\u2014EDBT'96: 5th International Conference on Extending Database Technology Avignon, France, March 25-29, 1996 Proceedings 5; 1996: Springer.","DOI":"10.1007\/BFb0014140"},{"key":"10.1016\/j.jbi.2023.104385_b0185","doi-asserted-by":"crossref","unstructured":"Dong W, Lee EW, Hertzberg VS, Simpson RL, Ho JC. GASP: Graph-based Approximate Sequential Pattern Mining for Electronic Health Records. Adv Databases Inf Syst. 2021;1450:50-60. Epub 20210717. doi: 10.1007\/978-3-030-85082-1_5. PubMed PMID: 34604867; PubMed Central PMCID: PMC8485653.","DOI":"10.1007\/978-3-030-85082-1_5"},{"issue":"10035","key":"10.1016\/j.jbi.2023.104385_b0190","doi-asserted-by":"crossref","first-page":"2340","DOI":"10.1016\/S0140-6736(16)30507-4","article-title":"Environmental risk factors for type 1 diabetes","volume":"387","author":"Rewers","year":"2016","journal-title":"Lancet"},{"issue":"7","key":"10.1016\/j.jbi.2023.104385_b0195","doi-asserted-by":"crossref","first-page":"1311","DOI":"10.2337\/dbi19-0022","article-title":"T-Cell Epitopes and Neo-epitopes in Type 1 Diabetes: A Comprehensive Update and Reappraisal","volume":"69","author":"James","year":"2020","journal-title":"Diabetes"},{"issue":"5","key":"10.1016\/j.jbi.2023.104385_b0200","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1111\/j.1399-5448.2007.00269.x","volume":"8","year":"2007","journal-title":"Pediatr Diabetes."},{"key":"10.1016\/j.jbi.2023.104385_b0205","doi-asserted-by":"crossref","unstructured":"The Environmental Determinants of Diabetes in the Young (TEDDY) Study. Ann N Y Acad Sci. 2008;1150:1-13. doi: 10.1196\/annals.1447.062. PubMed PMID: 19120261; PubMed Central PMCID: PMC2886800.","DOI":"10.1196\/annals.1447.062"},{"key":"10.1016\/j.jbi.2023.104385_b0210","doi-asserted-by":"crossref","unstructured":"Hagopian WA, Erlich H, Lernmark A, Rewers M, Ziegler AG, Simell O, et al. The Environmental Determinants of Diabetes in the Young (TEDDY): genetic criteria and international diabetes risk screening of 421 000 infants. Pediatr Diabetes. 2011;12(8):733-43. Epub 20110512. doi: 10.1111\/j.1399-5448.2011.00774.x. PubMed PMID: 21564455; PubMed Central PMCID: PMC3315186.","DOI":"10.1111\/j.1399-5448.2011.00774.x"},{"key":"10.1016\/j.jbi.2023.104385_b0215","unstructured":"Krischer J. v25 ed2023."},{"issue":"1","key":"10.1016\/j.jbi.2023.104385_b0220","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1186\/s12887-015-0333-8","article-title":"A method for reporting and classifying acute infectious diseases in a prospective study of young children: TEDDY","volume":"15","author":"L\u00f6nnrot","year":"2015","journal-title":"BMC Pediatrics."},{"issue":"5","key":"10.1016\/j.jbi.2023.104385_b0225","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1002\/dmrr.2510","article-title":"Biomarker discovery study design for type 1 diabetes in The Environmental Determinants of Diabetes in the Young (TEDDY) study","volume":"30","author":"Lee","year":"2014","journal-title":"DiabetesMetab Res Rev."},{"key":"10.1016\/j.jbi.2023.104385_b0230","doi-asserted-by":"crossref","unstructured":"Bonifacio E, Yu L, Williams AK, Eisenbarth GS, Bingley PJ, Marcovina SM, et al. Harmonization of glutamic acid decarboxylase and islet antigen-2 autoantibody assays for national institute of diabetes and digestive and kidney diseases consortia. J Clin Endocrinol Metab. 2010;95(7):3360-7. Epub 20100505. doi: 10.1210\/jc.2010-0293. PubMed PMID: 20444913; PubMed Central PMCID: PMC2928900.","DOI":"10.1210\/jc.2010-0293"},{"issue":"7","key":"10.1016\/j.jbi.2023.104385_b0235","doi-asserted-by":"crossref","first-page":"1183","DOI":"10.2337\/diacare.20.7.1183","volume":"20","year":"1997","journal-title":"Diabetes Care"},{"key":"10.1016\/j.jbi.2023.104385_b0240","doi-asserted-by":"crossref","unstructured":"Ho DE, Imai K, King G, Stuart EA. Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference. Political Analysis. 2007;15(3):199-236. Epub 2017\/01\/04. doi: 10.1093\/pan\/mpl013.","DOI":"10.1093\/pan\/mpl013"},{"key":"10.1016\/j.jbi.2023.104385_b0245","doi-asserted-by":"crossref","unstructured":"Zaki MJ, editor Sequence mining in categorical domains: incorporating constraints. Proceedings of the ninth international conference on Information and knowledge management; 2000.","DOI":"10.1145\/354756.354849"},{"issue":"1","key":"10.1016\/j.jbi.2023.104385_b0250","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1023\/A:1007652502315","article-title":"SPADE: An efficient algorithm for mining frequent sequences","volume":"42","author":"Zaki","year":"2001","journal-title":"Mach. Learn."},{"issue":"7","key":"10.1016\/j.jbi.2023.104385_b0255","first-page":"1709","article-title":"Sequential Rule Mining, Methods, and Techniques: A Review","volume":"13","author":"Kour","year":"2017","journal-title":"Int. J. Comput. Intell. Res."},{"issue":"10","key":"10.1016\/j.jbi.2023.104385_b0260","doi-asserted-by":"crossref","first-page":"4712","DOI":"10.1016\/j.csda.2008.03.013","article-title":"Standardising the lift of an association rule","volume":"52","author":"McNicholas","year":"2008","journal-title":"Comput. Stat. Data Anal."},{"key":"10.1016\/j.jbi.2023.104385_b0265","doi-asserted-by":"crossref","unstructured":"Yan X, Han J, Afshar R, editors. CloSpan: Mining: Closed sequential patterns in large datasets. Proceedings of the 2003 SIAM international conference on data mining; 2003: SIAM.","DOI":"10.1137\/1.9781611972733.15"},{"issue":"4\u20135","key":"10.1016\/j.jbi.2023.104385_b0270","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.is.2009.01.002","article-title":"Non-redundant sequential rules\u2014Theory and algorithm","volume":"34","author":"Lo","year":"2009","journal-title":"Inf. Syst."},{"key":"10.1016\/j.jbi.2023.104385_b0275","doi-asserted-by":"crossref","unstructured":"Seabold S, Perktold J, editors. Statsmodels: Econometric and statistical modeling with python. Proceedings of the 9th Python in Science Conference; 2010: Austin, TX.","DOI":"10.25080\/Majora-92bf1922-011"},{"key":"10.1016\/j.jbi.2023.104385_b0280","series-title":"Roseola Infantum","author":"Mullins","year":"2017"},{"key":"10.1016\/j.jbi.2023.104385_b0285","doi-asserted-by":"crossref","unstructured":"Sabouri S, Benkahla MA, Kiosses WB, Rodriguez-Calvo T, Zapardiel-Gonzalo J, Castillo E, et al. Human herpesvirus-6 is present at higher levels in the pancreatic tissues of donors with type 1 diabetes. J Autoimmun. 2020;107:102378. Epub 20191206. doi: 10.1016\/j.jaut.2019.102378. PubMed PMID: 31818546; PubMed Central PMCID: PMC7237334.","DOI":"10.1016\/j.jaut.2019.102378"},{"issue":"1","key":"10.1016\/j.jbi.2023.104385_b0290","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.1365-2249.2010.04139.x","article-title":"The 'hygiene hypothesis' for autoimmune and allergic diseases: an update","volume":"160","author":"Okada","year":"2010","journal-title":"Clin Exp Immunol."},{"key":"10.1016\/j.jbi.2023.104385_b0295","doi-asserted-by":"crossref","unstructured":"Zaccone P, Hall SW. Helminth infection and type 1 diabetes. Rev Diabet Stud. 2012;9(4):272-86. Epub 20121228. doi: 10.1900\/rds.2012.9.272. PubMed PMID: 23804266; PubMed Central PMCID: PMC3740696.","DOI":"10.1900\/RDS.2012.9.272"},{"issue":"6","key":"10.1016\/j.jbi.2023.104385_b0300","doi-asserted-by":"crossref","first-page":"1783","DOI":"10.1016\/j.dsx.2020.08.009","article-title":"Molecular mimicry between varicella, measles virus and Hsp60 in type 1 diabetes associated HLA-DR3\/DR4 molecules","volume":"14","author":"Meziane","year":"2020","journal-title":"Diabetes Metab. Syndr."},{"issue":"2","key":"10.1016\/j.jbi.2023.104385_b0305","doi-asserted-by":"crossref","first-page":"384","DOI":"10.2337\/diabetes.53.2.384","article-title":"Stratification of Type 1 Diabetes Risk on the Basis of Islet Autoantibody Characteristics","volume":"53","author":"Achenbach","year":"2004","journal-title":"Diabetes"},{"issue":"23","key":"10.1016\/j.jbi.2023.104385_b0310","doi-asserted-by":"crossref","first-page":"2473","DOI":"10.1001\/jama.2013.6285","article-title":"Seroconversion to Multiple Islet Autoantibodies and Risk of Progression to Diabetes in Children","volume":"309","author":"Ziegler","year":"2013","journal-title":"JAMA"}],"container-title":["Journal of Biomedical Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1532046423001065?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1532046423001065?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T08:50:50Z","timestamp":1717318250000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1532046423001065"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":62,"alternative-id":["S1532046423001065"],"URL":"https:\/\/doi.org\/10.1016\/j.jbi.2023.104385","relation":{},"ISSN":["1532-0464"],"issn-type":[{"value":"1532-0464","type":"print"}],"subject":[],"published":{"date-parts":[[2023,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Sequential data mining of infection patterns as predictors for onset of type 1 diabetes in genetically at-risk individuals","name":"articletitle","label":"Article Title"},{"value":"Journal of Biomedical Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jbi.2023.104385","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"104385"}}