{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T16:53:13Z","timestamp":1788627193105,"version":"build-2803163510"},"reference-count":50,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,3,17]],"date-time":"2024-03-17T00:00:00Z","timestamp":1710633600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100019305","name":"Manipal Academy of Higher Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100019305","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["slas-technology.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["SLAS Technology"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1016\/j.slast.2024.100129","type":"journal-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T07:29:34Z","timestamp":1710746974000},"page":"100129","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":28,"title":["SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques"],"prefix":"10.1016","volume":"29","author":[{"given":"Krishnaraj","family":"Chadaga","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Srikanth","family":"Prabhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3345-360X","authenticated-orcid":false,"given":"Niranjana","family":"Sampathila","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rajagopala","family":"Chadaga","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6193-9770","authenticated-orcid":false,"given":"Devadas","family":"Bhat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akhilesh Kumar","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9468-548X","authenticated-orcid":false,"given":"KS","family":"Swathi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.slast.2024.100129_bib0001","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1016\/j.jad.2019.12.015","article-title":"Social anxiety disorder among children and adolescents: a nationwide survey of prevalence, socio-demographic characteristics, risk factors and co-morbidities","volume":"263","author":"Mohammadi","year":"2020","journal-title":"J Affect Disord"},{"issue":"5","key":"10.1016\/j.slast.2024.100129_bib0002","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1017\/S0033291719003908","article-title":"Much more than just shyness: the impact of social anxiety disorder on educational performance across the lifespan","volume":"51","author":"Vilaplana-P\u00e9rez","year":"2021","journal-title":"Psychol Med"},{"issue":"1","key":"10.1016\/j.slast.2024.100129_bib0003","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1111\/bjc.12393","article-title":"In the moment social experiences and perceptions of children with social anxiety disorder: a qualitative study","volume":"62","author":"Halldorsson","year":"2023","journal-title":"Br J Clin Psychol"},{"key":"10.1016\/j.slast.2024.100129_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.janxdis.2020.102228","article-title":"Social trauma and its association with posttraumatic stress disorder and social anxiety disorder","volume":"72","author":"Bjornsson","year":"2020","journal-title":"J Anxiety Disord"},{"issue":"3","key":"10.1016\/j.slast.2024.100129_bib0005","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1007\/s10608-023-10368-7","article-title":"Safety behaviors predict long-term treatment outcome following internet-based treatment of adults with social anxiety disorder","volume":"47","author":"Zech","year":"2023","journal-title":"Cognit Ther Res"},{"issue":"4","key":"10.1016\/j.slast.2024.100129_bib0006","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1016\/j.cbpra.2020.12.002","article-title":"Treating social anxiety in an era of social distancing: adapting exposure therapy for youth during COVID-19","volume":"28","author":"Khan","year":"2021","journal-title":"Cogn Behav Pract"},{"key":"10.1016\/j.slast.2024.100129_bib0007","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1016\/j.jad.2020.10.055","article-title":"Prospective associations between peer functioning and social anxiety in adolescents: a systematic review and meta-analysis","volume":"279","author":"Chiu","year":"2021","journal-title":"J Affect Disord"},{"key":"10.1016\/j.slast.2024.100129_bib0008","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1007\/978-981-32-9705-0_12","article-title":"Anxiety disorders in the DSM-5: changes, controversies, and future directions","author":"Park","year":"2020","journal-title":"Anxiety Disord Rethink Underst Recent Discov"},{"issue":"3","key":"10.1016\/j.slast.2024.100129_bib0009","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1093\/jamia\/ocz192","article-title":"A governance model for the application of AI in health care","volume":"27","author":"Reddy","year":"2020","journal-title":"J Am Med Inform Assoc"},{"issue":"1","key":"10.1016\/j.slast.2024.100129_bib0010","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12911-020-01191-1","article-title":"Use of AI-based tools for healthcare purposes: a survey study from consumers\u2019 perspectives","volume":"20","author":"Esmaeilzadeh","year":"2020","journal-title":"BMC Med Inform Decis Mak"},{"key":"10.1016\/j.slast.2024.100129_bib0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.slast.2023.09.001","article-title":"COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: a case study from Ecuador","author":"Chadaga","year":"2023","journal-title":"SLAS Technol"},{"issue":"1","key":"10.1016\/j.slast.2024.100129_bib0012","doi-asserted-by":"crossref","first-page":"16381","DOI":"10.1038\/s41598-020-72289-9","article-title":"Using machine learning-based analysis for behavioral differentiation between anxiety and depression","volume":"10","author":"Richter","year":"2020","journal-title":"Sci Rep"},{"issue":"1","key":"10.1016\/j.slast.2024.100129_bib0013","first-page":"56","article-title":"Machine learning models identify multimodal measurements highly predictive of transdiagnostic symptom severity for mood, anhedonia, and anxiety","volume":"5","author":"Mellem","year":"2020","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimagingaging"},{"issue":"5","key":"10.1016\/j.slast.2024.100129_bib0014","doi-asserted-by":"crossref","first-page":"e16875","DOI":"10.2196\/16875","article-title":"Digital biomarkers of social anxiety severity: digital phenotyping using passive smartphone sensors","volume":"22","author":"Jacobson","year":"2020","journal-title":"J Med Internet Res"},{"key":"10.1016\/j.slast.2024.100129_bib0015","doi-asserted-by":"crossref","first-page":"545","DOI":"10.3389\/fpsyt.2020.00545","article-title":"Machine learning for differential diagnosis between clinical conditions with social difficulty: autism spectrum disorder, early psychosis, and social anxiety disorder","volume":"11","author":"Demetriou","year":"2020","journal-title":"Front Psychiatry"},{"issue":"1","key":"10.1016\/j.slast.2024.100129_bib0016","doi-asserted-by":"crossref","first-page":"13932","DOI":"10.1038\/s41598-022-17769-w","article-title":"Predicting social anxiety in young adults with machine learning of resting-state brain functional radiomic features","volume":"12","author":"Kim","year":"2022","journal-title":"Sci Rep"},{"key":"10.1016\/j.slast.2024.100129_bib0017","article-title":"Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures","volume":"14","author":"Al-Ezzi","year":"2023","journal-title":"Front Psychiatry"},{"key":"10.1016\/j.slast.2024.100129_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2020.105354","article-title":"Development and use of a clinical decision support system for the diagnosis of social anxiety disorder","volume":"190","author":"Fathi","year":"2020","journal-title":"Comput Methods Programs Biomed"},{"key":"10.1016\/j.slast.2024.100129_bib0019","first-page":"V2","article-title":"Data for: development and use of a clinical decision support system for the diagnosis of social anxiety disorder","author":"Fathi","year":"2020","journal-title":"Mendeley Data"},{"key":"10.1016\/j.slast.2024.100129_bib0020","doi-asserted-by":"crossref","DOI":"10.15626\/MP.2021.3078","article-title":"Power to the People: a Beginner's Tutorial to Power Analysis using jamovi","volume":"6","author":"Bartlett","year":"2022","journal-title":"Meta Psychol"},{"issue":"7","key":"10.1016\/j.slast.2024.100129_bib0021","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/s41593-020-0660-4","article-title":"Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence","volume":"23","author":"Keysers","year":"2020","journal-title":"Nat Neurosci"},{"key":"10.1016\/j.slast.2024.100129_bib0022","doi-asserted-by":"crossref","DOI":"10.1016\/j.oceaneng.2020.106956","article-title":"Analysis of fishing vessel accidents with Bayesian network and Chi-square methods","volume":"198","author":"U\u011furlu","year":"2020","journal-title":"Ocean Eng"},{"issue":"6","key":"10.1016\/j.slast.2024.100129_bib0023","doi-asserted-by":"crossref","first-page":"3616","DOI":"10.1109\/TIT.2020.2966197","article-title":"Fundamental limits of decentralized data shuffling","volume":"66","author":"Wan","year":"2020","journal-title":"IEEE Trans Inf Theory"},{"issue":"1","key":"10.1016\/j.slast.2024.100129_bib0024","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-021-00516-9","article-title":"A survey on missing data in machine learning","volume":"8","author":"Emmanuel","year":"2021","journal-title":"J Big Data"},{"issue":"3","key":"10.1016\/j.slast.2024.100129_bib0025","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1109\/MWC.001.1900410","article-title":"Outlier detection approaches based on machine learning in the internet-of-things","volume":"27","author":"Jiang","year":"2020","journal-title":"IEEE Wirel Commun"},{"issue":"1","key":"10.1016\/j.slast.2024.100129_bib0026","doi-asserted-by":"crossref","first-page":"4238","DOI":"10.1038\/s41467-020-18037-z","article-title":"Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets","volume":"11","author":"Schulz","year":"2020","journal-title":"Nat Commun"},{"key":"10.1016\/j.slast.2024.100129_bib0027","series-title":"Proceedings of the 3rd international conference on smart systems and inventive technology (ICSSIT)","first-page":"729","article-title":"Study the influence of normalization\/transformation process on the accuracy of supervised classification","author":"Raju","year":"2020"},{"issue":"12","key":"10.1016\/j.slast.2024.100129_bib0028","doi-asserted-by":"crossref","first-page":"1391","DOI":"10.3390\/e22121391","article-title":"A memory-efficient encoding method for processing mixed-type data on machine learning","volume":"22","author":"Lopez-Arevalo","year":"2020","journal-title":"Entropy"},{"issue":"2","key":"10.1016\/j.slast.2024.100129_bib0029","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1080\/1540496X.2020.1825935","article-title":"Missing data preprocessing in credit classification: one-hot encoding or imputation?","volume":"58","author":"Yu","year":"2022","journal-title":"Emerg Mark Financ Trade"},{"issue":"4","key":"10.1016\/j.slast.2024.100129_bib0030","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1016\/j.jksuci.2019.06.012","article-title":"Stability of feature selection algorithm: a review","volume":"34","author":"Khaire","year":"2022","journal-title":"J King Saud Univ Comput Inf Sci"},{"key":"10.1016\/j.slast.2024.100129_bib0031","first-page":"1","article-title":"Feature selection based on mutual information with correlation coefficient","author":"Zhou","year":"2022","journal-title":"Appl Intell"},{"key":"10.1016\/j.slast.2024.100129_bib0032","series-title":"Proceedings of the 29th ACM joint meeting on european software engineering conference and symposium on the foundations of software engineering","first-page":"429","article-title":"Bias in machine learning software: why? how? what to do?","author":"Chakraborty","year":"2021"},{"key":"10.1016\/j.slast.2024.100129_bib0033","doi-asserted-by":"crossref","DOI":"10.1016\/j.jenvman.2021.113086","article-title":"Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh","volume":"295","author":"Rahman","year":"2021","journal-title":"J Environ Manag"},{"issue":"2","key":"10.1016\/j.slast.2024.100129_bib0034","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1007\/s11069-021-04986-1","article-title":"Bagging-based machine learning algorithms for landslide susceptibility modeling","volume":"110","author":"Zhang","year":"2022","journal-title":"Nat Hazards"},{"key":"10.1016\/j.slast.2024.100129_bib0035","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.inffus.2020.07.007","article-title":"A practical tutorial on bagging and boosting based ensembles for machine learning: algorithms, software tools, performance study, practical perspectives and opportunities","volume":"64","author":"Gonz\u00e1lez","year":"2020","journal-title":"Inf Fusion"},{"issue":"4","key":"10.1016\/j.slast.2024.100129_bib0036","doi-asserted-by":"crossref","first-page":"79","DOI":"10.3390\/informatics8040079","article-title":"Hyperparameter tuning for machine learning algorithms used for arabic sentiment analysis","volume":"8","author":"Elgeldawi","year":"2021","journal-title":"Informatics"},{"issue":"8","key":"10.1016\/j.slast.2024.100129_bib0037","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1080\/17480930.2021.1899404","article-title":"Grid search optimised artificial neural network for open stope stability prediction","volume":"35","author":"Erdogan Erten","year":"2021","journal-title":"Int J Min Reclam Environ"},{"key":"10.1016\/j.slast.2024.100129_bib0038","doi-asserted-by":"crossref","DOI":"10.1016\/j.commatsci.2019.109203","article-title":"Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation","volume":"171","author":"Xiong","year":"2020","journal-title":"Comput Mater Sci"},{"issue":"5","key":"10.1016\/j.slast.2024.100129_bib0039","doi-asserted-by":"crossref","first-page":"593","DOI":"10.3390\/electronics10050593","article-title":"Evaluating the quality of machine learning explanations: a survey on methods and metrics","volume":"10","author":"Zhou","year":"2021","journal-title":"Electronics"},{"key":"10.1016\/j.slast.2024.100129_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2021.106584","article-title":"Explanation of machine learning models using shapley additive explanation and application for real data in hospital","volume":"214","author":"Nohara","year":"2022","journal-title":"Comput Methods Programs Biomed"},{"issue":"1","key":"10.1016\/j.slast.2024.100129_bib0041","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1080\/01605682.2020.1865846","article-title":"Statistical stability indices for LIME: obtaining reliable explanations for machine learning models","volume":"73","author":"Visani","year":"2022","journal-title":"J Oper Res Soc"},{"key":"10.1016\/j.slast.2024.100129_bib0042","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.procs.2022.09.093","article-title":"How can machine learning identify suicidal ideation from user's texts? Towards the explanation of the Boamente system","volume":"206","author":"de Oliveira","year":"2022","journal-title":"Procedia Comput Sci"},{"key":"10.1016\/j.slast.2024.100129_bib0043","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1002\/9781119792345.ch3","article-title":"Qlattice environment and Feyn QGraph models\u2014A new perspective toward deep learning","author":"Bharadi","year":"2021","journal-title":"Emerg Technol Healthc Internet Things Deep Learn Models"},{"issue":"5","key":"10.1016\/j.slast.2024.100129_bib0044","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0251365","article-title":"Understanding importance of clinical biomarkers for diagnosis of anxiety disorders using machine learning models","volume":"16","author":"Sharma","year":"2021","journal-title":"PLoS One"},{"key":"10.1016\/j.slast.2024.100129_bib0045","series-title":"Biosignal processing and classification using computational learning and intelligence","first-page":"111","article-title":"A brief introduction to supervised, unsupervised, and reinforcement learning","author":"Morales","year":"2022"},{"key":"10.1016\/j.slast.2024.100129_bib0046","doi-asserted-by":"crossref","DOI":"10.1016\/j.cosrev.2021.100379","article-title":"A survey on deep learning and its applications","volume":"40","author":"Dong","year":"2021","journal-title":"Comput Sci Rev"},{"issue":"5","key":"10.1016\/j.slast.2024.100129_bib0047","doi-asserted-by":"crossref","first-page":"e15708","DOI":"10.2196\/15708","article-title":"Machine learning and natural language processing in mental health: systematic review","volume":"23","author":"Le Glaz","year":"2021","journal-title":"J Med Internet Res"},{"key":"10.1016\/j.slast.2024.100129_bib0048","article-title":"Cloud-based in-situ battery life prediction and classification using machine learning","author":"Zhang","year":"2023","journal-title":"Energy Storage Mater"},{"issue":"2","key":"10.1016\/j.slast.2024.100129_bib0049","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1080\/19393555.2020.1718248","article-title":"Selective medical image encryption using DNA cryptography","volume":"29","author":"Akkasaligar","year":"2020","journal-title":"Inf Secur J Glob Perspect"},{"issue":"9","key":"10.1016\/j.slast.2024.100129_bib0050","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3561048","article-title":"Explainable AI (XAI): core ideas, techniques, and solutions","volume":"55","author":"Dwivedi","year":"2023","journal-title":"ACM Comput Surv"}],"container-title":["SLAS Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2472630324000116?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2472630324000116?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T05:05:24Z","timestamp":1747285524000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2472630324000116"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":50,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["S2472630324000116"],"URL":"https:\/\/doi.org\/10.1016\/j.slast.2024.100129","relation":{},"ISSN":["2472-6303"],"issn-type":[{"value":"2472-6303","type":"print"}],"subject":[],"published":{"date-parts":[[2024,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques","name":"articletitle","label":"Article Title"},{"value":"SLAS Technology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.slast.2024.100129","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Authors. Published by Elsevier Inc. on behalf of Society for Laboratory Automation and Screening.","name":"copyright","label":"Copyright"}],"article-number":"100129"}}