{"id":"https://openalex.org/W4211254577","doi":"https://doi.org/10.1186/s12911-022-01772-2","title":"Medically-oriented design for explainable AI for stress prediction from physiological measurements","display_name":"Medically-oriented design for explainable AI for stress prediction from physiological measurements","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4211254577","doi":"https://doi.org/10.1186/s12911-022-01772-2","pmid":"https://pubmed.ncbi.nlm.nih.gov/35148762"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-022-01772-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-01772-2","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-022-01772-2","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-022-01772-2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047114611","display_name":"Dalia Jaber","orcid":null},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":true,"raw_author_name":"Dalia Jaber","raw_affiliation_strings":["Electrical and Computer Engineering Department, American University of Beirut, Beirut, Lebanon. drj01@mail.aub.edu","Electrical and Computer Engineering Department, American University of Beirut, Beirut, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, American University of Beirut, Beirut, Lebanon. drj01@mail.aub.edu","institution_ids":["https://openalex.org/I98635879"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, American University of Beirut, Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088085383","display_name":"Hazem Hajj","orcid":"https://orcid.org/0000-0002-9954-7924"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hazem Hajj","raw_affiliation_strings":["Pathfinding, Automation Technology and Analytics, Intel Corporation, Hillsboro, Oregon, USA","Pathfinding, Automation Technology and Analytics, Intel Corporation, Hillsboro, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pathfinding, Automation Technology and Analytics, Intel Corporation, Hillsboro, Oregon, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Pathfinding, Automation Technology and Analytics, Intel Corporation, Hillsboro, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063398633","display_name":"Fadi Maalouf","orcid":null},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Fadi Maalouf","raw_affiliation_strings":["Department of Psychiatry, American University of Beirut, Beirut, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, American University of Beirut, Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"last","author":{"id":null,"display_name":"Wassim El-Hajj","orcid":null},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Wassim El-Hajj","raw_affiliation_strings":["Computer Science Department, American University of Beirut, Beirut, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, American University of Beirut, Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047114611"],"corresponding_institution_ids":["https://openalex.org/I98635879"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":4.0596,"has_fulltext":true,"cited_by_count":44,"citation_normalized_percentile":{"value":0.94425367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"22","issue":"1","first_page":"38","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.23600000143051147,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.23600000143051147,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12488","display_name":"Mental Health via Writing","score":0.22360000014305115,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.11580000072717667,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.6685633659362793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6038907766342163},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5817148089408875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5601725578308105},{"id":"https://openalex.org/keywords/mental-health","display_name":"Mental health","score":0.536698043346405},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4905385375022888},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.48533645272254944},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.47658297419548035},{"id":"https://openalex.org/keywords/stress-test","display_name":"Stress test","score":0.46951669454574585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.451369971036911},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4284888803958893},{"id":"https://openalex.org/keywords/informatics","display_name":"Informatics","score":0.4249623417854309},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.4181044399738312},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.4153163433074951},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2591046094894409},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24846705794334412},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.17176908254623413},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.15709707140922546},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.12209895253181458}],"concepts":[{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.6685633659362793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6038907766342163},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5817148089408875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5601725578308105},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.536698043346405},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4905385375022888},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48533645272254944},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.47658297419548035},{"id":"https://openalex.org/C2779201015","wikidata":"https://www.wikidata.org/wiki/Q1308919","display_name":"Stress test","level":2,"score":0.46951669454574585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.451369971036911},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4284888803958893},{"id":"https://openalex.org/C191630685","wikidata":"https://www.wikidata.org/wiki/Q4027615","display_name":"Informatics","level":2,"score":0.4249623417854309},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.4181044399738312},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.4153163433074951},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2591046094894409},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24846705794334412},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.17176908254623413},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.15709707140922546},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.12209895253181458},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006282","descriptor_name":"Health Personnel","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006282","descriptor_name":"Health Personnel","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006282","descriptor_name":"Health Personnel","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035502","descriptor_name":"Trust","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035502","descriptor_name":"Trust","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035502","descriptor_name":"Trust","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-022-01772-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-01772-2","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-022-01772-2","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:35148762","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35148762","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:doaj.org/article:dbb00f069f444b1bafbfa48fceb45578","is_oa":true,"landing_page_url":"https://doaj.org/article/dbb00f069f444b1bafbfa48fceb45578","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-20 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8840288","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8840288","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-022-01772-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-01772-2","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-022-01772-2","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309999","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4211254577.pdf","grobid_xml":"https://content.openalex.org/works/W4211254577.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W1849277567","https://openalex.org/W1921929190","https://openalex.org/W1936083779","https://openalex.org/W1969050256","https://openalex.org/W2046720941","https://openalex.org/W2068349382","https://openalex.org/W2072454120","https://openalex.org/W2072822311","https://openalex.org/W2085493001","https://openalex.org/W2111181238","https://openalex.org/W2112812932","https://openalex.org/W2282821441","https://openalex.org/W2291344655","https://openalex.org/W2295107390","https://openalex.org/W2604228455","https://openalex.org/W2778222790","https://openalex.org/W2892741787","https://openalex.org/W2894511130","https://openalex.org/W2894771803","https://openalex.org/W2962772482","https://openalex.org/W3004227146","https://openalex.org/W3092259203","https://openalex.org/W3098017922","https://openalex.org/W3103482818","https://openalex.org/W3105081694","https://openalex.org/W3109650690","https://openalex.org/W3114627553","https://openalex.org/W3127637041","https://openalex.org/W4235421565","https://openalex.org/W4289032002","https://openalex.org/W6892708518"],"related_works":["https://openalex.org/W2044191049","https://openalex.org/W2121784101","https://openalex.org/W29728712","https://openalex.org/W3213321031","https://openalex.org/W1575151300","https://openalex.org/W4307504022","https://openalex.org/W2980822416","https://openalex.org/W4323349612","https://openalex.org/W1577474828","https://openalex.org/W2844670051"],"abstract_inverted_index":{"BACKGROUND:":[0],"In":[1,79,143,220,251,343],"the":[2,42,45,114,119,136,146,155,158,168,176,179,200,223,235,238,243,247,273,285,289,302,333,355,360,364,368,374,386],"last":[3],"decade,":[4],"a":[5,125,182,226,257,309,312,349],"lot":[6],"of":[7,118,124,167,178,184,187,237,246,291,301,328,359,376,385],"attention":[8],"has":[9,57,68],"been":[10,58,69],"given":[11],"to":[12,36,51,71,105,140,145,162,222,295,321,324,332,338,345,381],"develop":[13,72],"artificial":[14],"intelligence":[15],"(AI)":[16],"solutions":[17],"for":[18,33,38,75,92,149,172,210,260],"mental":[19,76,153],"health":[20],"using":[21,308],"machine":[22],"learning.":[23],"To":[24],"build":[25],"trust":[26],"in":[27,61,152,241,264,293,363],"AI":[28,34,46,74,90,121,151,248,262,304,369],"applications,":[29],"it":[30],"is":[31,49],"crucial":[32],"systems":[35],"provide":[37],"practitioners":[39,100,278],"and":[40,101,116,135,174,181,192,276,311,357],"patients":[41,102],"reasons":[43],"behind":[44],"decisions.":[47],"This":[48],"referred":[50],"as":[52,389],"Explainable":[53],"AI.":[54],"While":[55],"there":[56],"significant":[59],"progress":[60],"developing":[62],"stress":[63,93,133,193,211,265,292,316,334,365],"prediction":[64,94,134,266,290,317,335],"models,":[65],"little":[66,218],"work":[67,156,372],"done":[70],"explainable":[73,261,303],"health.":[77],"METHODS:":[78],"this":[80,84,252],"work,":[81,253],"we":[82,112,254],"address":[83],"gap":[85],"by":[86,230,367],"designing":[87],"an":[88,170],"explanatory":[89,120,378],"report":[91,131,240,305,362],"from":[95],"wearable":[96],"sensors.":[97],"Because":[98],"medical":[99,277],"are":[103],"likely":[104],"be":[106,322],"familiar":[107],"with":[108,204,217,340,352],"blood":[109,127],"test":[110,128],"reports,":[111],"modeled":[113],"look":[115],"feel":[117],"on":[122,268,272,288],"those":[123],"standard":[126],"report.":[129],"The":[130,207,299,315,326],"includes":[132,157,373],"physiological":[137,190,269,330],"signals":[138],"related":[139,380],"stressful":[141],"episodes.":[142],"addition":[144,221,294,344,375],"new":[147,258],"design":[148,259],"explaining":[150],"health,":[154],"following":[159],"contributions:":[160],"Methods":[161],"automatically":[163],"generate":[164],"different":[165,244],"components":[166],"report,":[169,274],"approach":[171],"evaluating":[173],"validating":[175],"accuracies":[177],"explanations,":[180],"collection":[183],"ground":[185,205,341],"truth":[186],"relationships":[188],"between":[189],"measurements":[191],"prediction.":[194],"RESULTS:":[195],"Test":[196],"results":[197],"showed":[198],"that":[199],"explanations":[201],"were":[202,214],"consistent":[203],"truth.":[206,342],"reference":[208],"intervals":[209],"versus":[212],"non-stress":[213],"quite":[215],"distinctive":[216],"variation.":[219],"quantitative":[224,310,347],"evaluations,":[225,348],"qualitative":[227,313,350],"survey,":[228],"conducted":[229],"three":[231],"expert":[232],"psychiatrists":[233,353],"confirmed":[234,354],"usefulness":[236],"explanation":[239,361],"understanding":[242],"aspects":[245],"system.":[249,370],"CONCLUSION:":[250],"have":[255,284],"provided":[256],"used":[263],"based":[267],"measurements.":[270],"Based":[271],"users":[275],"can":[279],"determine":[280],"what":[281],"biological":[282],"features":[283,379],"most":[286],"impact":[287],"any":[296],"health-related":[297],"abnormalities.":[298],"effectiveness":[300,358],"was":[306,319,336],"evaluated":[307],"assessment.":[314],"accuracy":[318],"shown":[320,337],"comparable":[323],"state-of-the-art.":[325],"contributions":[327],"each":[329],"signal":[331],"correlate":[339],"these":[346],"survey":[351],"confidence":[356],"made":[366],"Future":[371],"more":[377],"other":[382],"emotional":[383],"states":[384],"patient,":[387],"such":[388],"sadness,":[390],"relaxation,":[391],"anxiousness,":[392],"or":[393],"happiness.":[394]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}