{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T19:11:47Z","timestamp":1790709107289,"version":"4.1.0"},"reference-count":68,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,4,2]],"date-time":"2023-04-02T00:00:00Z","timestamp":1680393600000},"content-version":"am","delay-in-days":305,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"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"}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["R01 MH61358"],"award-info":[{"award-number":["R01 MH61358"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000026","name":"NIDA","doi-asserted-by":"publisher","award":["R21 DA14111"],"award-info":[{"award-number":["R21 DA14111"]}],"id":[{"id":"10.13039\/100000026","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":["Psychiatry Research"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1016\/j.psychres.2022.114534","type":"journal-article","created":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T20:16:58Z","timestamp":1648498618000},"page":"114534","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":14,"special_numbering":"C","title":["Predictive utility of symptom measures in classifying anxiety and depression: A machine-learning approach"],"prefix":"10.1016","volume":"312","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3294-8416","authenticated-orcid":false,"given":"Kevin","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian","family":"Droncheff","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6096-5950","authenticated-orcid":false,"given":"Stacie L.","family":"Warren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"6","key":"10.1016\/j.psychres.2022.114534_bib0002","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1037\/0022-006X.56.6.893","article-title":"An inventory for measuring clinical anxiety: psychometric properties","volume":"56","author":"Beck","year":"1988","journal-title":"J. Consult. Clin. Psychol."},{"key":"10.1016\/j.psychres.2022.114534_bib0003","doi-asserted-by":"crossref","unstructured":"Beck, A.T., Steer, R.A., & Brown, G. (1996). Beck depression inventory\u2013II. Psychol. Assess..","DOI":"10.1037\/t00742-000"},{"issue":"3","key":"10.1016\/j.psychres.2022.114534_bib0004","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/j.psc.2009.06.002","article-title":"Anxiety and anxiety disorders in children and adolescents: developmental issues and implications for DSM-V","volume":"32","author":"Beesdo","year":"2009","journal-title":"Psychiatr. Clin. North Am."},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib1005","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/S0005-7916(03)00004-1","article-title":"Screening for generalized anxiety disorder using the Penn State Worry Questionnaire: A receiver operating characteristic analysis","volume":"34","author":"Behar","year":"2003","journal-title":"Journal of Behavior Therapy and Experimental Psychiatry"},{"issue":"2","key":"10.1016\/j.psychres.2022.114534_bib0005","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.psychres.2006.03.008","article-title":"Discriminant validity of the MASQ in a clinical sample","volume":"150","author":"Boschen","year":"2007","journal-title":"Psychiatry Res."},{"issue":"3","key":"10.1016\/j.psychres.2022.114534_bib0006","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1037\/a0019915","article-title":"Screening for depressive disorders using the mood and anxiety symptoms questionnaire Anhedonic depression scale: a receiver-operating characteristic analysis","volume":"22","author":"Bredemeier","year":"2010","journal-title":"Psychol. Assess."},{"key":"10.1016\/j.psychres.2022.114534_bib0007","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.jad.2016.03.070","article-title":"Executive function deficits associated with current and past major depressive symptoms","volume":"204","author":"Bredemeier","year":"2016","journal-title":"J. Affect. Disord."},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib0008","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/0005-7967(92)90093-V","article-title":"Psychometric properties of the Penn state worry questionnaire in a clinical anxiety disorders sample","volume":"30","author":"Brown","year":"1992","journal-title":"Behav. Res. Ther."},{"issue":"12","key":"10.1016\/j.psychres.2022.114534_bib0009","doi-asserted-by":"crossref","first-page":"1411","DOI":"10.1016\/S0005-7967(03)00059-7","article-title":"Confirmatory factor analysis of the Penn State Worry Questionnaire: multiple factors or method effects?","volume":"41","author":"Brown","year":"2003","journal-title":"Behav. Res. Ther."},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib1009","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1186\/1471-244X-7-50","article-title":"Clinical utility of the Mood and Anxiety Symptom Questionnaire (MASQ) in a sample of young help-seekers","volume":"7","author":"Buckby","year":"2007","journal-title":"BMC Psychiatry"},{"issue":"10","key":"10.1016\/j.psychres.2022.114534_bib0010","doi-asserted-by":"crossref","first-page":"1451","DOI":"10.1111\/psyp.12696","article-title":"Resting-state functional connectivity differentiates anxious apprehension and anxious arousal","volume":"53","author":"Burdwood","year":"2016","journal-title":"Psychophysiology"},{"issue":"2","key":"10.1016\/j.psychres.2022.114534_bib0011","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1007\/s10880-008-9144-5","article-title":"Generalized anxiety disorder in older medical patients: diagnostic recognition, mental health management and service utilization","volume":"16","author":"Calleo","year":"2009","journal-title":"J. Clin. Psychol. Med. Settings"},{"issue":"5","key":"10.1016\/j.psychres.2022.114534_bib0012","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1007\/s00415-015-7701-z","article-title":"Brain structural abnormalities in patients with major depression with or without generalized anxiety disorder comorbidity","volume":"262","author":"Canu","year":"2015","journal-title":"J. Neurol."},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib0013","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.janxdis.2006.03.014","article-title":"Fearing the unknown: a short version of the Intolerance of Uncertainty Scale","volume":"21","author":"Carleton","year":"2007","journal-title":"J. Anxiety Disord."},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib0014","first-page":"1","article-title":"The Penn State Worry Questionnaire: comparative model fit and invariance across gender","volume":"2","author":"Carter","year":"2013","journal-title":"In Natl. Forum J. Couns Addict."},{"issue":"2","key":"10.1016\/j.psychres.2022.114534_bib0015","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1002\/da.1020","article-title":"One-year prevalence of subthreshold and threshold DSM-IV generalized anxiety disorder in a nationally representative sample","volume":"13","author":"Carter","year":"2001","journal-title":"Depress. Anxiety"},{"issue":"4","key":"10.1016\/j.psychres.2022.114534_bib0016","doi-asserted-by":"crossref","first-page":"1084","DOI":"10.1007\/s11682-017-9772-1","article-title":"Parsing the neural correlates of anxious apprehension and anxious arousal in the grey-matter of healthy youth","volume":"12","author":"Castagna","year":"2018","journal-title":"Brain Imaging Behav"},{"issue":"3","key":"10.1016\/j.psychres.2022.114534_bib0017","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1037\/0021-843X.100.3.316","article-title":"Tripartite model of anxiety and depression: psychometric evidence and taxonomic implications","volume":"100","author":"Clark","year":"1991","journal-title":"J. Abnorm. Psychol."},{"issue":"4","key":"10.1016\/j.psychres.2022.114534_bib0018","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1016\/0005-7967(94)00082-U","article-title":"The Beck Anxiety Inventory in a non-clinical sample","volume":"33","author":"Creamer","year":"1995","journal-title":"Behav. Res. Ther."},{"issue":"4","key":"10.1016\/j.psychres.2022.114534_bib0019","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1017\/bec.2015.15","article-title":"Identifying individuals with eneralized anxiety disorder: a receiver operator characteristic analysis of theoretically relevant measures","volume":"32","author":"Curtiss","year":"2015","journal-title":"Behav. Change"},{"issue":"3","key":"10.1016\/j.psychres.2022.114534_bib0020","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1111\/j.1469-8986.2007.00518.x","article-title":"Specificity of regional brain activity in anxiety types during emotion processing","volume":"44","author":"Engels","year":"2007","journal-title":"Psychophysiology"},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib0021","doi-asserted-by":"crossref","first-page":"141","DOI":"10.3758\/CABN.10.1.141","article-title":"Co-occurring anxiety influences patterns of brain activity in depression","volume":"10","author":"Engels","year":"2010","journal-title":"Cogn. Affect. Behav. Neurosci."},{"issue":"4","key":"10.1016\/j.psychres.2022.114534_bib0022","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1037\/0022-006X.61.4.631","article-title":"Distinguishing depression and anxiety in self-report: evidence from confirmatory factor analysis on nonclinical and clinical samples","volume":"61","author":"Feldman","year":"1993","journal-title":"J. Consult. Clin. Psychol."},{"key":"10.1016\/j.psychres.2022.114534_bib0023","unstructured":"First, M., Spitzer, R., Gibbon, M., & Williams, J. (2002). Structured clinical interview for DSM-IV-TR Axis I disorders, research version, non-patient edition. In (SCID-I\/P)."},{"issue":"5","key":"10.1016\/j.psychres.2022.114534_bib0024","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1176\/ps.48.5.705","article-title":"Measurement of depression and anxiety for hospitalized depressed patients","volume":"48","author":"Fischer","year":"1997","journal-title":"Psychiatr. Serv."},{"issue":"3","key":"10.1016\/j.psychres.2022.114534_bib0025","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.jbtep.2003.09.001","article-title":"Using the Penn State Worry Questionnaire to identify individuals with generalized anxiety disorder: a receiver operating characteristic analysis","volume":"34","author":"Fresco","year":"2003","journal-title":"J. Behav. Ther. Exp. Psychiatry"},{"key":"10.1016\/j.psychres.2022.114534_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.pscychresns.2021.111349","article-title":"Specificity of anhedonic alterations in resting-state network connectivity and structure: a transdiagnostic approach","volume":"317","author":"Geller","year":"2021","journal-title":"Psychiatry Res.: Neuroimaging"},{"key":"10.1016\/j.psychres.2022.114534_bib0027","article-title":"Psychometric and machine learning approaches for diagnostic assessment and tests of individual classification","author":"Gonzalez","year":"2020","journal-title":"Psychol. Methods"},{"key":"10.1016\/j.psychres.2022.114534_bib0028","series-title":"Anxiety and Depression: Distinctive and Overlapping Features","first-page":"131","article-title":"Self-report assessment of depression and anxiety","author":"Gotlib","year":"1989"},{"issue":"4","key":"10.1016\/j.psychres.2022.114534_bib0029","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1001\/jamapsychiatry.2017.4602","article-title":"Epidemiology of adult DSM-5 major depressive disorder and its specifiers in the United States","volume":"75","author":"Hasin","year":"2018","journal-title":"JAMA Psychiatry"},{"issue":"7","key":"10.1016\/j.psychres.2022.114534_bib0030","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1016\/j.biopsych.2012.09.033","article-title":"A genome-wide association study of depressive symptoms","volume":"73","author":"Hek","year":"2013","journal-title":"Biol. Psychiatry"},{"issue":"3","key":"10.1016\/j.psychres.2022.114534_bib0031","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1037\/0021-843X.106.3.376","article-title":"Patterns of regional brain activity differentiate types of anxiety","volume":"106","author":"Heller","year":"1997","journal-title":"J. Abnorm. Psychol."},{"issue":"3","key":"10.1016\/j.psychres.2022.114534_bib0032","doi-asserted-by":"crossref","first-page":"e00633","DOI":"10.1002\/brb3.633","article-title":"Separating generalized anxiety disorder from major depression using clinical, hormonal, and structural MRI data: a multimodal machine learning study","volume":"7","author":"Hilbert","year":"2017","journal-title":"Brain Behav."},{"issue":"5","key":"10.1016\/j.psychres.2022.114534_bib0033","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1016\/j.psyneuen.2011.08.012","article-title":"Changes in cortisol secretion during antidepressive treatment and cognitive improvement in patients with major depression: a longitudinal study","volume":"37","author":"Hinkelmann","year":"2012","journal-title":"Psychoneuroendocrinology"},{"issue":"5","key":"10.1016\/j.psychres.2022.114534_bib0034","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1016\/j.beth.2020.05.002","article-title":"Supervised machine learning: a brief primer","volume":"51","author":"Jiang","year":"2020","journal-title":"Behav. Ther."},{"key":"10.1016\/j.psychres.2022.114534_bib0035","unstructured":"Kendall, P. C., & Watson, D. (Eds.). (1989). Anxiety and depression: distinctive and overlapping features. Anxiety and Depression: Distinctive and Overlapping Features., XVIII, 519\u2013xviii, 519."},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib0036","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1207\/S15327752JPA740108","article-title":"Exploring the factor structure of the Mood and Anxiety Symptom Questionnaire (MASQ)","volume":"74","author":"Keogh","year":"2000","journal-title":"J. Pers. Assess."},{"issue":"5","key":"10.1016\/j.psychres.2022.114534_bib0037","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1002\/cpp.1802","article-title":"Validity of the Generalized Anxiety Disorder-7 scale in an acute psychiatric sample","volume":"20","author":"Kertz","year":"2013","journal-title":"Clin. Psychol. Psychother."},{"issue":"6","key":"10.1016\/j.psychres.2022.114534_bib0038","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1001\/archpsyc.62.6.617","article-title":"Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication","volume":"62","author":"Kessler","year":"2005","journal-title":"Arch. Gen. Psychiatry"},{"issue":"3","key":"10.1016\/j.psychres.2022.114534_bib0039","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1002\/mpr.1359","article-title":"Twelve-month and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the United States","volume":"21","author":"Kessler","year":"2012","journal-title":"Int. J. Methods Psychiatr. Res."},{"key":"10.1016\/j.psychres.2022.114534_bib1039","unstructured":"Kuhn, Max. caret: Classification and Regression Training. R package version 6.0-86. https:\/\/CRAN.R-project.org\/package=caret."},{"key":"10.1016\/j.psychres.2022.114534_bib0040","article-title":"Factor structure, measurement invariance, and concurrent validity of the Penn State Worry Questionnaire across development, psychopathology, and culture","author":"Liu","year":"2021","journal-title":"Assessment"},{"issue":"2","key":"10.1016\/j.psychres.2022.114534_bib0041","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1007\/s10608-018-9966-x","article-title":"Repetitive negative thought and executive dysfunction: an interactive pathway to emotional distress","volume":"43","author":"Madian","year":"2019","journal-title":"Cognit. Ther. Res."},{"issue":"6","key":"10.1016\/j.psychres.2022.114534_bib0042","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/0005-7967(90)90135-6","article-title":"Development and validation of the Penn State Worry Questionnaire","volume":"28","author":"Meyer","year":"1990","journal-title":"Behav. Res. Ther."},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib0043","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1146\/annurev-clinpsy-050212-185540","article-title":"Endophenotypes in psychopathology research: where do we stand?","volume":"9","author":"Miller","year":"2013","journal-title":"Annu. Rev. Clin. Psychol."},{"issue":"5","key":"10.1016\/j.psychres.2022.114534_bib0044","doi-asserted-by":"crossref","first-page":"628","DOI":"10.1111\/1469-8986.3650628","article-title":"Contrasting patterns of brain activity in anxious apprehension and anxious arousal","volume":"36","author":"Nitschke","year":"1999","journal-title":"Psychophysiology"},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib0045","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1023\/A:1026485530405","article-title":"Distinguishing dimensions of anxiety and depression","volume":"25","author":"Nitschke","year":"2001","journal-title":"Cognit. Ther. Res."},{"issue":"2","key":"10.1016\/j.psychres.2022.114534_bib0046","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0115820","article-title":"Affective neural responses modulated by serotonin transporter genotype in clinical anxiety and depression","volume":"10","author":"Oathes","year":"2015","journal-title":"PLoS One"},{"issue":"11","key":"10.1016\/j.psychres.2022.114534_bib0047","doi-asserted-by":"crossref","first-page":"793","DOI":"10.7326\/0003-4819-151-11-200912010-00007","article-title":"Screening for depression in adult patients in primary care settings: a systematic evidence review","volume":"151","author":"O'Connor","year":"2009","journal-title":"Ann. Intern. Med."},{"key":"10.1016\/j.psychres.2022.114534_bib0048","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.genhosppsych.2015.11.005","article-title":"Screening for anxiety disorders with the GAD-7 and GAD-2: a systematic review and diagnostic metaanalysis","volume":"39","author":"Plummer","year":"2016","journal-title":"Gen. Hosp. Psychiatry"},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib0049","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1176\/appi.ajp.2012.12070999","article-title":"DSM-5 field trials in the United States and Canada, part II: test-retest reliability of selected categorical diagnoses","volume":"170","author":"Regier","year":"2013","journal-title":"Am. J. Psychiatry"},{"key":"10.1016\/j.psychres.2022.114534_bib1050","unstructured":"R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https:\/\/www.R-project.org\/."},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib0051","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1007\/s10862-016-9571-9","article-title":"Psychometric properties of the Generalized Anxiety Disorder Scale-7 (GAD-7) in outpatients with anxiety and mood disorders","volume":"39","author":"Rutter","year":"2017","journal-title":"J. Psychopathol. Behav. Assess."},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib0052","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1177\/0145445507303833","article-title":"Psychometric properties of the Beck Depression Inventory II (BDI-II) among community-dwelling older adults","volume":"32","author":"Segal","year":"2008","journal-title":"Behav. Modif."},{"key":"10.1016\/j.psychres.2022.114534_bib0053","first-page":"365","article-title":"Transdiagnostic dimensions of anxiety: neural mechanisms, executive functions, and new directions","volume":"98","author":"Sharp","year":"2015","journal-title":"Psychophysiol. Sci. Res. Domain Criteria"},{"key":"10.1016\/j.psychres.2022.114534_bib1053","doi-asserted-by":"crossref","unstructured":"Spielberger, C. D., 1983. State-Trait Anxiety Inventory for Adults (STAI-AD) [Database record]. APA PsycTests. https:\/\/doi.org\/10.1037\/t06496-000.","DOI":"10.1037\/t06496-000"},{"issue":"10","key":"10.1016\/j.psychres.2022.114534_bib0054","doi-asserted-by":"crossref","first-page":"1092","DOI":"10.1001\/archinte.166.10.1092","article-title":"A brief measure for assessing generalized anxiety disorder: the GAD-7","volume":"166","author":"Spitzer","year":"2006","journal-title":"Arch. Intern. Med."},{"issue":"6","key":"10.1016\/j.psychres.2022.114534_bib0055","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1016\/S0191-8869(97)00232-8","article-title":"Reliability and validity of two widely-used worry questionnaires: self-report and self-peer convergence","volume":"24","author":"St\u00f6ber","year":"1998","journal-title":"Pers. Individ. Dif."},{"issue":"9","key":"10.1016\/j.psychres.2022.114534_bib0056","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1002\/jclp.20701","article-title":"Distinguishing anxiety and depression in self-report: purification of the beck anxiety inventory and beck depression inventory-II","volume":"66","author":"Stulz","year":"2010","journal-title":"J. Clin. Psychol."},{"key":"10.1016\/j.psychres.2022.114534_bib0057","doi-asserted-by":"crossref","DOI":"10.1016\/j.jpsychores.2020.110126","article-title":"Machine-learning models for depression and anxiety in individuals with immune-mediated inflammatory disease","volume":"134","author":"Tennenhouse","year":"2020","journal-title":"J. Psychosom. Res."},{"issue":"3","key":"10.1016\/j.psychres.2022.114534_bib0058","article-title":"Mice: multivariate imputation by chained equations in R","volume":"1","author":"van Buuren","year":"2011","journal-title":"J. Stat. Softw."},{"issue":"12","key":"10.1016\/j.psychres.2022.114534_bib1058","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1111\/jcpp.12916","article-title":"Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning","volume":"59","author":"Walsh","year":"2018","journal-title":"Journal of Child Psychology and Psychiatry"},{"key":"10.1016\/j.psychres.2022.114534_bib0059","doi-asserted-by":"crossref","first-page":"271","DOI":"10.3389\/fnhum.2013.00271","article-title":"Cortical organization of inhibition-related functions and modulation by psychopathology","volume":"7","author":"Warren","year":"2013","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.psychres.2022.114534_bib0060","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.jad.2020.09.132","article-title":"The structure of executive dysfunction in depression and anxiety","volume":"279","author":"Warren","year":"2021","journal-title":"J. Affect. Disord."},{"issue":"4","key":"10.1016\/j.psychres.2022.114534_bib1060","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1037\/0021-843X.114.4.522","article-title":"Rethinking the mood and anxiety disorders: A quantitative hierarchical model for DSM-V","volume":"114","author":"Watson","year":"2005","journal-title":"Journal of Abnormal Psychology"},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib0061","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1037\/0021-843X.104.1.15","article-title":"Testing a tripartite model: II. Exploring the symptom structure of anxiety and depression in student, adult, and patient samples","volume":"104","author":"Watson","year":"1995","journal-title":"J. Abnorm. Psychol."},{"issue":"1","key":"10.1016\/j.psychres.2022.114534_bib0062","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1037\/0021-843X.104.1.3","article-title":"Testing a tripartite model: I. Evaluating the convergent and discriminant validity of anxiety and depression symptom scales","volume":"104","author":"Watson","year":"1995","journal-title":"J. Abnorm. Psychol."},{"issue":"2","key":"10.1016\/j.psychres.2022.114534_bib0063","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1375\/twin.8.2.101","article-title":"The value of four mental health self-report scales in predicting interview-based mood and anxiety disorder diagnoses in sibling pairs","volume":"8","author":"Williamson","year":"2005","journal-title":"Twin Res. Hum. Genet.\u00a0: Off. J. Int. Soc. Twin Stud."}],"container-title":["Psychiatry Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165178122001482?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165178122001482?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T05:53:11Z","timestamp":1759038791000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165178122001482"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":68,"alternative-id":["S0165178122001482"],"URL":"https:\/\/doi.org\/10.1016\/j.psychres.2022.114534","relation":{},"ISSN":["0165-1781"],"issn-type":[{"value":"0165-1781","type":"print"}],"subject":[],"published":{"date-parts":[[2022,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Predictive utility of symptom measures in classifying anxiety and depression: A machine-learning approach","name":"articletitle","label":"Article Title"},{"value":"Psychiatry Research","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.psychres.2022.114534","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"114534"}}