{"id":"https://openalex.org/W4385274450","doi":"https://doi.org/10.3390/s23156664","title":"Efficient Feature-Selection-Based Stacking Model for Stress Detection Based on Chest Electrodermal Activity","display_name":"Efficient Feature-Selection-Based Stacking Model for Stress Detection Based on Chest Electrodermal Activity","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4385274450","doi":"https://doi.org/10.3390/s23156664","pmid":"https://pubmed.ncbi.nlm.nih.gov/37571448"},"language":"en","primary_location":{"id":"doi:10.3390/s23156664","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23156664","pdf_url":"https://www.mdpi.com/1424-8220/23/15/6664/pdf?version=1690284861","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/15/6664/pdf?version=1690284861","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045221683","display_name":"Ahmad Almadhor","orcid":"https://orcid.org/0000-0002-8665-1669"},"institutions":[{"id":"https://openalex.org/I199702508","display_name":"Jouf University","ror":"https://ror.org/02zsyt821","country_code":"SA","type":"education","lineage":["https://openalex.org/I199702508"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Ahmad Almadhor","raw_affiliation_strings":["Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka 72388, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-8665-1669","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka 72388, Saudi Arabia","institution_ids":["https://openalex.org/I199702508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022474498","display_name":"Gabriel Avelino Sampedro","orcid":"https://orcid.org/0000-0003-2354-4409"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]},{"id":"https://openalex.org/I97002122","display_name":"University of the Philippines Open University","ror":"https://ror.org/00k27aj44","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934","https://openalex.org/I97002122"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Gabriel Avelino Sampedro","raw_affiliation_strings":["Center for Computational Imaging and Visual Innovations, De La Salle University, Manila 1004, Philippines","Faculty of Information and Communication Studies, University of the Philippines Open University, Los Ba\u00f1os 4031, Philippines"],"raw_orcid":"https://orcid.org/0000-0003-2354-4409","affiliations":[{"raw_affiliation_string":"Center for Computational Imaging and Visual Innovations, De La Salle University, Manila 1004, Philippines","institution_ids":["https://openalex.org/I5996616"]},{"raw_affiliation_string":"Faculty of Information and Communication Studies, University of the Philippines Open University, Los Ba\u00f1os 4031, Philippines","institution_ids":["https://openalex.org/I97002122"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005359226","display_name":"Mideth Abisado","orcid":"https://orcid.org/0000-0003-4215-7260"},"institutions":[{"id":"https://openalex.org/I4210090490","display_name":"National University","ror":"https://ror.org/000a8qk84","country_code":"PH","type":"education","lineage":["https://openalex.org/I4210090490"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Mideth Abisado","raw_affiliation_strings":["College of Computing and Information Technologies, National University, Manila 1008, Philippines"],"raw_orcid":"https://orcid.org/0000-0003-4215-7260","affiliations":[{"raw_affiliation_string":"College of Computing and Information Technologies, National University, Manila 1008, Philippines","institution_ids":["https://openalex.org/I4210090490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047609451","display_name":"Sidra Abbas","orcid":"https://orcid.org/0000-0002-8204-4896"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sidra Abbas","raw_affiliation_strings":["Department of Computer Science, COMSATS University, Islamabad 22060, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-8204-4896","affiliations":[{"raw_affiliation_string":"Department of Computer Science, COMSATS University, Islamabad 22060, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045221683"],"corresponding_institution_ids":["https://openalex.org/I199702508"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":4.4576,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95231145,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"23","issue":"15","first_page":"6664","last_page":"6664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9907000064849854,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9907000064849854,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9623000025749207,"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/T14064","display_name":"Organizational and Employee Performance","score":0.9581000208854675,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6799217462539673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6704652309417725},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.611391007900238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5860652923583984},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5775488615036011},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5368452668190002},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5104912519454956},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.502610445022583},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48196980357170105},{"id":"https://openalex.org/keywords/stacking","display_name":"Stacking","score":0.4758457839488983},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4731234908103943},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4698913097381592},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44670072197914124},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4236755073070526},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.42246416211128235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3611904978752136}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6799217462539673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6704652309417725},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.611391007900238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5860652923583984},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5775488615036011},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5368452668190002},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5104912519454956},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.502610445022583},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48196980357170105},{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.4758457839488983},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4731234908103943},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4698913097381592},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44670072197914124},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4236755073070526},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.42246416211128235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3611904978752136},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","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}],"mesh":[{"descriptor_ui":"D000078326","descriptor_name":"Data Visualization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078326","descriptor_name":"Data Visualization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078326","descriptor_name":"Data Visualization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078326","descriptor_name":"Data Visualization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078326","descriptor_name":"Data Visualization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":"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":"D005712","descriptor_name":"Galvanic Skin Response","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005712","descriptor_name":"Galvanic Skin Response","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005712","descriptor_name":"Galvanic Skin Response","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005712","descriptor_name":"Galvanic Skin Response","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005712","descriptor_name":"Galvanic Skin Response","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23156664","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23156664","pdf_url":"https://www.mdpi.com/1424-8220/23/15/6664/pdf?version=1690284861","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37571448","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37571448","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10422546","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10422546","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10422546/pdf/sensors-23-06664.pdf","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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:1c0053b6b20e4fa0bd1dec40b309a79d","is_oa":true,"landing_page_url":"https://doaj.org/article/1c0053b6b20e4fa0bd1dec40b309a79d","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":"Sensors, Vol 23, Iss 15, p 6664 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/15/6664/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23156664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 23; Issue 15; Pages: 6664","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23156664","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23156664","pdf_url":"https://www.mdpi.com/1424-8220/23/15/6664/pdf?version=1690284861","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385274450.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W2108754912","https://openalex.org/W2148143831","https://openalex.org/W2368514363","https://openalex.org/W2438748017","https://openalex.org/W2886983335","https://openalex.org/W2894771803","https://openalex.org/W2979581430","https://openalex.org/W3014950611","https://openalex.org/W3016422726","https://openalex.org/W3016847450","https://openalex.org/W3031765992","https://openalex.org/W3042491499","https://openalex.org/W3044460784","https://openalex.org/W3046803548","https://openalex.org/W3085802240","https://openalex.org/W3093257130","https://openalex.org/W3095677657","https://openalex.org/W3098143033","https://openalex.org/W3114627553","https://openalex.org/W3120777630","https://openalex.org/W3126247264","https://openalex.org/W3127209096","https://openalex.org/W3154846076","https://openalex.org/W3156134801","https://openalex.org/W3157699413","https://openalex.org/W3167394498","https://openalex.org/W3176765353","https://openalex.org/W3193630181","https://openalex.org/W3195156771","https://openalex.org/W3201909053","https://openalex.org/W3208020934","https://openalex.org/W4200173872","https://openalex.org/W4200197250","https://openalex.org/W4214830197","https://openalex.org/W4214833632","https://openalex.org/W4224242327","https://openalex.org/W4226372772","https://openalex.org/W4283079749","https://openalex.org/W4283690093","https://openalex.org/W4283775132","https://openalex.org/W4285393229","https://openalex.org/W4288054395","https://openalex.org/W4290929121","https://openalex.org/W4294168434","https://openalex.org/W4294306611","https://openalex.org/W4295308738","https://openalex.org/W4296953388","https://openalex.org/W4303103946","https://openalex.org/W4306155933","https://openalex.org/W4312980628","https://openalex.org/W4321377319","https://openalex.org/W4361212638","https://openalex.org/W4362538029","https://openalex.org/W4366809083","https://openalex.org/W4367320958","https://openalex.org/W4379615619","https://openalex.org/W4381855863","https://openalex.org/W4383497807","https://openalex.org/W6842232342","https://openalex.org/W6852204663"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"Contemporary":[0],"advancements":[1],"in":[2,8,61],"wearable":[3],"equipment":[4,39],"have":[5,34],"generated":[6],"interest":[7],"continuously":[9],"observing":[10],"stress":[11,17,71],"utilizing":[12,45],"various":[13],"physiological":[14],"indicators.":[15],"Early":[16],"detection":[18],"can":[19],"improve":[20],"healthcare":[21,38],"by":[22,106],"lessening":[23],"the":[24,62,85,103,113,120,124,135,150,153,164],"negative":[25],"effects":[26],"of":[27,134,152],"chronic":[28],"stress.":[29],"Machine":[30],"learning":[31,79],"(ML)":[32],"methodologies":[33,60,172],"been":[35],"modified":[36],"for":[37,102],"to":[40,54,69],"monitor":[41],"user":[42,47],"health":[43],"situations":[44],"sufficient":[46],"information.":[48],"Nevertheless,":[49],"more":[50],"data":[51,108],"are":[52],"needed":[53],"make":[55],"applying":[56],"Artificial":[57],"Intelligence":[58],"(AI)":[59],"medical":[63],"field":[64],"easier.":[65],"This":[66],"research":[67],"aimed":[68],"detect":[70],"using":[72,81,112,119],"a":[73,99],"stacking":[74,155,166],"model":[75,105,137],"based":[76],"on":[77],"machine":[78],"algorithms":[80],"chest-based":[82],"features":[83],"from":[84],"Wearable":[86],"Stress":[87],"and":[88,110,116,130,144,173],"Affect":[89],"Detection":[90],"(WESAD)":[91],"dataset.":[92],"We":[93],"converted":[94],"this":[95],"natural":[96],"dataset":[97],"into":[98],"convenient":[100],"format":[101],"suggested":[104],"performing":[107],"visualization":[109],"preprocessing":[111],"RESP":[114],"feature":[115,117],"analysis":[118],"Z-score,":[121],"SelectKBest":[122],"feature,":[123],"Synthetic":[125],"Minority":[126],"Over-Sampling":[127],"Technique":[128],"(SMOTE),":[129],"normalization.":[131],"The":[132,146,160],"efficiency":[133],"proposed":[136,154,165],"was":[138],"estimated":[139],"regarding":[140],"accuracy,":[141],"precision,":[142],"recall,":[143],"F1-score.":[145],"experimental":[147],"outcome":[148],"illustrated":[149],"efficacy":[151],"technique,":[156],"achieving":[157],"0.99%":[158],"accuracy.":[159],"results":[161],"revealed":[162],"that":[163],"methodology":[167],"performed":[168],"better":[169],"than":[170],"traditional":[171],"previous":[174],"studies.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
