{"id":"https://openalex.org/W4406461466","doi":"https://doi.org/10.1109/bigdata62323.2024.10825687","title":"Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations","display_name":"Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406461466","doi":"https://doi.org/10.1109/bigdata62323.2024.10825687"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037911128","display_name":"Pegah Ahadian","orcid":"https://orcid.org/0009-0005-5402-1792"},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pegah Ahadian","raw_affiliation_strings":["Kent State University,Kent,Ohio,USA"],"affiliations":[{"raw_affiliation_string":"Kent State University,Kent,Ohio,USA","institution_ids":["https://openalex.org/I149910238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076156022","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0002-2226-4096"},"institutions":[{"id":"https://openalex.org/I200870766","display_name":"Brookhaven National Laboratory","ror":"https://ror.org/02ex6cf31","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I200870766","https://openalex.org/I39565521","https://openalex.org/I4210142672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["Brookhaven National Laboratory,New York,USA"],"affiliations":[{"raw_affiliation_string":"Brookhaven National Laboratory,New York,USA","institution_ids":["https://openalex.org/I200870766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041211420","display_name":"Sherry S. Wang","orcid":"https://orcid.org/0000-0002-6445-1025"},"institutions":[{"id":"https://openalex.org/I185071736","display_name":"Chapman University","ror":"https://ror.org/0452jzg20","country_code":"US","type":"education","lineage":["https://openalex.org/I185071736"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sherry Wang","raw_affiliation_strings":["Chapman University,Irvine,California,USA"],"affiliations":[{"raw_affiliation_string":"Chapman University,Irvine,California,USA","institution_ids":["https://openalex.org/I185071736"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102787759","display_name":"Qiang Guan","orcid":"https://orcid.org/0000-0002-3804-8945"},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Guan","raw_affiliation_strings":["Kent State University,Kent,Ohio,USA"],"affiliations":[{"raw_affiliation_string":"Kent State University,Kent,Ohio,USA","institution_ids":["https://openalex.org/I149910238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037911128"],"corresponding_institution_ids":["https://openalex.org/I149910238"],"apc_list":null,"apc_paid":null,"fwci":1.4495,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83720807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4621","last_page":"4626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.8678779602050781},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.7324205040931702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6965543031692505},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.6666328310966492},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6524662971496582},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5663703680038452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4507538974285126},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.41184529662132263},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3378616273403168},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33158713579177856},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19110053777694702},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16970005631446838},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.07047873735427856}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.8678779602050781},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.7324205040931702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6965543031692505},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.6666328310966492},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6524662971496582},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5663703680038452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4507538974285126},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.41184529662132263},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3378616273403168},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33158713579177856},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19110053777694702},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16970005631446838},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.07047873735427856},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2034921462","https://openalex.org/W2792764867","https://openalex.org/W2802769465","https://openalex.org/W2889162782","https://openalex.org/W2944851425","https://openalex.org/W2963125461","https://openalex.org/W2963853051","https://openalex.org/W3171884590","https://openalex.org/W4210434817","https://openalex.org/W4289123308","https://openalex.org/W4294559022","https://openalex.org/W4296437236","https://openalex.org/W4386319782","https://openalex.org/W4401209512","https://openalex.org/W6749825310","https://openalex.org/W6756943755","https://openalex.org/W6922052050"],"related_works":["https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W4384133558","https://openalex.org/W3025615835","https://openalex.org/W173210993","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Sleep":[0],"disorders":[1],"have":[2],"a":[3,93],"major":[4],"impact":[5],"on":[6],"both":[7],"lifestyle":[8,16],"and":[9,17,35,62,73,88],"health.":[10],"Effective":[11],"sleep":[12,42,97,110],"disorder":[13,43],"prediction":[14],"from":[15],"physiological":[18],"data":[19,60],"can":[20],"provide":[21],"essential":[22],"details":[23],"for":[24,41,57],"early":[25],"intervention.":[26],"This":[27],"research":[28],"utilizes":[29],"three":[30],"deep":[31],"time":[32,58],"series":[33,59],"models":[34],"facilitates":[36],"them":[37],"with":[38,76],"explainability":[39],"approaches":[40],"prediction.":[44],"Specifically,":[45],"our":[46,100,106],"approach":[47,81],"adopts":[48],"Temporal":[49,63],"Convolutional":[50],"Networks":[51],"(TCN),":[52],"Long":[53],"Short-Term":[54],"Memory":[55],"(LSTM)":[56],"analysis,":[61],"Fusion":[64],"Transformer":[65],"model":[66],"(TFT).":[67],"Meanwhile,":[68],"the":[69,103],"temporal":[70],"attention":[71],"mechanism":[72],"counterfactual":[74],"explanation":[75],"SHapley":[77],"Additive":[78],"exPlanations":[79],"(SHAP)":[80],"are":[82],"employed":[83],"to":[84],"ensure":[85],"dependable,":[86],"accurate,":[87],"interpretable":[89],"predictions.":[90],"Finally,":[91],"using":[92],"large":[94],"dataset":[95],"of":[96,105],"health":[98],"measures,":[99],"evaluation":[101],"demonstrates":[102],"effect":[104],"method":[107],"in":[108],"predicting":[109],"disorders.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}