{"id":"https://openalex.org/W7123335689","doi":"https://doi.org/10.1093/ehjdh/ztaf143.064","title":"Validation of an algorithm for chronic stress exposure detection in cardiac patients using a digital health platform with wearable sensor","display_name":"Validation of an algorithm for chronic stress exposure detection in cardiac patients using a digital health platform with wearable sensor","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7123335689","doi":"https://doi.org/10.1093/ehjdh/ztaf143.064","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/12794866"},"language":"en","primary_location":{"id":"doi:10.1093/ehjdh/ztaf143.064","doi":"https://doi.org/10.1093/ehjdh/ztaf143.064","is_oa":true,"landing_page_url":"https://doi.org/10.1093/ehjdh/ztaf143.064","pdf_url":null,"source":{"id":"https://openalex.org/S4210220198","display_name":"European Heart Journal - Digital Health","issn_l":"2634-3916","issn":["2634-3916"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","doyens","jufo-1","ki-jl-1","norway-1","oarl","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Heart Journal - Digital Health","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1093/ehjdh/ztaf143.064","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047398108","display_name":"W F Goevaerts","orcid":"https://orcid.org/0000-0002-4310-6046","observed_orcids":["https://orcid.org/0000-0002-4310-6046"]},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"W F Goevaerts","raw_affiliation_strings":["Eindhoven University of Technology, Industrial Design , Eindhoven ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Industrial Design , Eindhoven ,","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097604265","display_name":"Valerie A. A. van Es","orcid":"https://orcid.org/0000-0002-4946-6288","observed_orcids":["https://orcid.org/0000-0002-4946-6288"]},"institutions":[{"id":"https://openalex.org/I4210126394","display_name":"M\u00e1xima Medisch Centrum","ror":"https://ror.org/02x6rcb77","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210126394"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"V A A Van Es","raw_affiliation_strings":["Maxima Medical Centre, Cardiology , Eindhoven ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maxima Medical Centre, Cardiology , Eindhoven ,","institution_ids":["https://openalex.org/I4210126394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122851379","display_name":"F J C Van Blerck","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210126394","display_name":"M\u00e1xima Medisch Centrum","ror":"https://ror.org/02x6rcb77","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210126394"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"F J C Van Blerck","raw_affiliation_strings":["Maxima Medical Centre, Cardiology , Eindhoven ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maxima Medical Centre, Cardiology , Eindhoven ,","institution_ids":["https://openalex.org/I4210126394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083447971","display_name":"Willem J. Kop","orcid":"https://orcid.org/0000-0003-3141-4815","observed_orcids":["https://orcid.org/0000-0003-3141-4815"]},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"W J Kop","raw_affiliation_strings":["Center of Research on Psychology in Somatic diseases at Tilburg University , Tilburg ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Research on Psychology in Somatic diseases at Tilburg University , Tilburg ,","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079524235","display_name":"Yuan L\u00fc","orcid":"https://orcid.org/0000-0003-2480-2051","observed_orcids":["https://orcid.org/0000-0003-2480-2051"]},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Y Lu","raw_affiliation_strings":["Eindhoven University of Technology, Industrial Design , Eindhoven ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Industrial Design , Eindhoven ,","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085455740","display_name":"Giacomo Handjaras","orcid":"https://orcid.org/0000-0001-5677-8434","observed_orcids":["https://orcid.org/0000-0001-5677-8434"]},"institutions":[{"id":"https://openalex.org/I127077003","display_name":"IMT School for Advanced Studies Lucca","ror":"https://ror.org/035gh3a49","country_code":"IT","type":"education","lineage":["https://openalex.org/I127077003"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G Handjaras","raw_affiliation_strings":["IMT School for Advanced Studies Lucca , Lucca ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMT School for Advanced Studies Lucca , Lucca ,","institution_ids":["https://openalex.org/I127077003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052608017","display_name":"Monica Betta","orcid":"https://orcid.org/0000-0002-5672-1638","observed_orcids":["https://orcid.org/0000-0002-5672-1638"]},"institutions":[{"id":"https://openalex.org/I127077003","display_name":"IMT School for Advanced Studies Lucca","ror":"https://ror.org/035gh3a49","country_code":"IT","type":"education","lineage":["https://openalex.org/I127077003"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M Betta","raw_affiliation_strings":["IMT School for Advanced Studies Lucca , Lucca ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMT School for Advanced Studies Lucca , Lucca ,","institution_ids":["https://openalex.org/I127077003"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012660961","display_name":"Hareld Kemps","orcid":"https://orcid.org/0000-0003-0272-4355","observed_orcids":["https://orcid.org/0000-0003-0272-4355"]},"institutions":[{"id":"https://openalex.org/I4210126394","display_name":"M\u00e1xima Medisch Centrum","ror":"https://ror.org/02x6rcb77","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210126394"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"H M C Kemps","raw_affiliation_strings":["Maxima Medical Centre, Cardiology , Eindhoven ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maxima Medical Centre, Cardiology , Eindhoven ,","institution_ids":["https://openalex.org/I4210126394"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3296,"currency":"EUR","value_usd":3725},"apc_paid":{"value":3296,"currency":"EUR","value_usd":3725},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"Supplement_1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11083","display_name":"Cardiac Health and Mental Health","score":0.30979999899864197,"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"}},"topics":[{"id":"https://openalex.org/T11083","display_name":"Cardiac Health and Mental Health","score":0.30979999899864197,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.1565999984741211,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.12150000035762787,"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/chronic-stress","display_name":"chronic stress","score":0.925000011920929},{"id":"https://openalex.org/keywords/cardiac-patients","display_name":"cardiac patients","score":0.9520000219345093},{"id":"https://openalex.org/keywords/stress-detection","display_name":"stress detection","score":0.5059999823570251},{"id":"https://openalex.org/keywords/wearable-sensors","display_name":"wearable sensors","score":0.9210000038146973},{"id":"https://openalex.org/keywords/digital-health-platforms","display_name":"digital health platforms","score":0.8930000066757202},{"id":"https://openalex.org/keywords/chatbots","display_name":"chatbots","score":0.9620000123977661},{"id":"https://openalex.org/keywords/e-health","display_name":"e-health","score":0.8100000023841858},{"id":"https://openalex.org/keywords/perceived-stress-scale","display_name":"Perceived Stress Scale","score":0.7329999804496765},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.7630000114440918},{"id":"https://openalex.org/keywords/circadian-rhythm","display_name":"circadian rhythm","score":0.8090000152587891},{"id":"https://openalex.org/keywords/exercise","display_name":"physical activity","score":0.8730000257492065},{"id":"https://openalex.org/keywords/heart-rate","display_name":"heart rate","score":0.722000002861023},{"id":"https://openalex.org/keywords/sleep-quality","display_name":"sleep quality","score":0.6669999957084656},{"id":"https://openalex.org/keywords/lifestyle-monitoring","display_name":"lifestyle monitoring","score":0.49000000953674316},{"id":"https://openalex.org/keywords/algorithm-validation","display_name":"algorithm validation","score":0.48899999260902405},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.6840000152587891},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.5519999861717224},{"id":"https://openalex.org/keywords/permutation-feature-importance","display_name":"permutation importance","score":0.531000018119812},{"id":"https://openalex.org/keywords/cardiovascular-risk-monitoring","display_name":"cardiovascular risk monitoring","score":0.4020000100135803},{"id":"https://openalex.org/keywords/cardiac-arrhythmia","display_name":"cardiac arrhythmias","score":0.38999998569488525}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6888999938964844},{"id":"https://openalex.org/C202645933","wikidata":"https://www.wikidata.org/wiki/Q4930","display_name":"eHealth","level":3,"score":0.6281999945640564},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.571399986743927},{"id":"https://openalex.org/C2780433410","wikidata":"https://www.wikidata.org/wiki/Q5276090","display_name":"Digital health","level":3,"score":0.4569000005722046},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.451200008392334},{"id":"https://openalex.org/C2779891985","wikidata":"https://www.wikidata.org/wiki/Q46994","display_name":"Telemedicine","level":3,"score":0.42010000348091125},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C2778654844","wikidata":"https://www.wikidata.org/wiki/Q3305232","display_name":"Chronic stress","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.34389999508857727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3422999978065491},{"id":"https://openalex.org/C2776902269","wikidata":"https://www.wikidata.org/wiki/Q5165493","display_name":"Continuous monitoring","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.3149000108242035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3122999966144562},{"id":"https://openalex.org/C76709773","wikidata":"https://www.wikidata.org/wiki/Q7623445","display_name":"Stress measures","level":3,"score":0.30660000443458557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30399999022483826},{"id":"https://openalex.org/C2779363104","wikidata":"https://www.wikidata.org/wiki/Q17069079","display_name":"mHealth","level":3,"score":0.3037000000476837},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C3020255362","wikidata":"https://www.wikidata.org/wiki/Q747883","display_name":"Physical activity","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2888999879360199},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.2849000096321106},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.26489999890327454},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.2630000114440918}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1093/ehjdh/ztaf143.064","doi":"https://doi.org/10.1093/ehjdh/ztaf143.064","is_oa":true,"landing_page_url":"https://doi.org/10.1093/ehjdh/ztaf143.064","pdf_url":null,"source":{"id":"https://openalex.org/S4210220198","display_name":"European Heart Journal - Digital Health","issn_l":"2634-3916","issn":["2634-3916"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","doyens","jufo-1","ki-jl-1","norway-1","oarl","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Heart Journal - Digital Health","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12794866","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12794866/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12794866/pdf/ztaf143.064.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,"listed_in":[],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eur Heart J Digit Health","raw_type":"Text"},{"id":"pmh:oai:pure.tue.nl:openaire/39808fd4-c70a-4193-80bc-18c994446467","doi":null,"is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/39808fd4-c70a-4193-80bc-18c994446467","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Goevaerts, W F, Van Es, V A A, Van Blerck, F J C, Kop, W J, Lu, Y, Handjaras, G, Betta, M & Kemps, H M C 2026, 'Validation of an algorithm for chronic stress exposure detection in cardiac patients using a digital health platform with wearable sensor', European Heart Journal - Digital Health, vol. 7, no. Supplement 1, ztaf143.064. https://doi.org/10.1093/ehjdh/ztaf143.064","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1093/ehjdh/ztaf143.064","doi":"https://doi.org/10.1093/ehjdh/ztaf143.064","is_oa":true,"landing_page_url":"https://doi.org/10.1093/ehjdh/ztaf143.064","pdf_url":null,"source":{"id":"https://openalex.org/S4210220198","display_name":"European Heart Journal - Digital Health","issn_l":"2634-3916","issn":["2634-3916"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","doyens","jufo-1","ki-jl-1","norway-1","oarl","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Heart Journal - Digital Health","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":1.0,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321642","display_name":"Hartstichting","ror":"https://ror.org/05nxhgm70"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7123335689.pdf","grobid_xml":"https://content.openalex.org/works/W7123335689.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4311964438","https://openalex.org/W4416677796","https://openalex.org/W4387885746","https://openalex.org/W3025536768","https://openalex.org/W3008403993","https://openalex.org/W4288062631","https://openalex.org/W4413822032","https://openalex.org/W2129860303","https://openalex.org/W7152608733","https://openalex.org/W4380836464"],"abstract_inverted_index":{"Abstract":[0],"Background":[1],"Chronic":[2],"stress":[3,12,74,97,166,304,323,339,361],"is":[4,61],"a":[5,62,85,106,110,125,236,329,357,375],"critical":[6],"factor":[7],"influencing":[8],"cardiovascular":[9],"outcomes.":[10],"Elevated":[11],"levels":[13,98],"have":[14],"been":[15],"linked":[16],"to":[17,68,388],"poor":[18],"lifestyle":[19,134],"recommendation":[20],"adherence,":[21],"increased":[22,27],"occurrence":[23],"of":[24,29,39,53,64,72,90,198,211,278,322,337,391],"arrhythmias,":[25],"and":[26,55,83,109,152,154,164,232,253,289,300,314,319,331,350,369],"risk":[28],"rehospitalisation":[30],"or":[31,93,206,219],"mortality":[32],"in":[33,46,58,75,95,185,208,302,340,378],"cardiac":[34,78,100,341],"populations.":[35],"Therefore,":[36],"early":[37],"identification":[38],"psychophysiological":[40,392],"vulnerability":[41],"could":[42],"enable":[43],"pre-emptive":[44],"care":[45],"high-risk":[47],"individuals.":[48],"Yet,":[49],"despite":[50],"growing":[51],"use":[52],"wearables":[54],"eHealth":[56,127,345],"tools":[57],"cardiology,":[59],"there":[60],"lack":[63],"validated":[65,193,354],"patient-friendly":[66],"methods":[67],"frequently":[69],"monitor":[70],"evolution":[71,336],"chronic":[73,96,221,303,338],"patients":[76,101,116,342],"following":[77],"interventions.":[79],"Objective":[80],"To":[81],"develop":[82],"validate":[84],"machine":[86],"learning":[87],"model":[88,274,355],"capable":[89],"detecting":[91],"worsening":[92,301],"improvement":[94,299],"among":[99],"using":[102,229,258,343],"longitudinal":[103],"data":[104,146,159,180,200],"from":[105],"wearable":[107,130,351],"sensor":[108,131],"digital":[111,380],"health":[112,381],"platform.":[113],"Methods":[114],"Eighty":[115],"(mean":[117],"age":[118],"73":[119],"(17)":[120],"years,":[121],"89%":[122],"male)":[123],"used":[124],"chatbot-based":[126],"platform":[128,346],"with":[129,183,255,283,347],"for":[132,168,334,359],"monitoring":[133,335],"behaviours":[135],"over":[136],"12":[137],"months":[138],"post-intervention.":[139],"The":[140,273,292,353],"wrist-worn":[141],"device":[142],"collects":[143,157],"continuous":[144],"multimodal":[145],"(heart":[147],"rate,":[148],"sleep,":[149],"physical":[150],"activity,":[151],"circadianity)":[153],"the":[155,176,186,259],"chatbot":[156,349],"subjective":[158],"(sleep":[160],"quality,":[161],"nutrition":[162],"intake,":[163],"mental":[165],"levels)":[167],"seven":[169],"separate":[170],"days":[171],"per":[172],"month":[173],"repeatedly":[174],"during":[175],"study":[177,327],"period.":[178],"These":[179],"were":[181,201,214,267],"matched":[182],"changes":[184],"Perceived":[187],"Stress":[188],"Scale":[189],"(PSS-10)":[190],"(a":[191],"clinically":[192],"questionnaire,":[194],"our":[195],"reference":[196],"method)":[197],"which":[199],"collected":[202],"quarterly.":[203],"A":[204,223],"decrease":[205],"increase":[207],"PSS-10":[209],"score":[210],"two":[212],"points":[213],"defined":[215],"as":[216],"respectively":[217],"improved":[218],"worsened":[220],"stress.":[222],"tree-bagging":[224],"ensemble":[225],"classifier":[226],"was":[227,242],"trained":[228],"Bayesian":[230],"optimization":[231],"five-fold":[233],"cross-validation":[234],"on":[235],"70/30":[237],"training-test":[238],"split.":[239],"Class":[240],"imbalance":[241],"corrected":[243],"via":[244,269],"sample":[245],"weighting.":[246],"Evaluation":[247],"metrics":[248],"included":[249,308],"accuracy,":[250,286],"sensitivity,":[251,288],"specificity,":[252],"AUC,":[254],"significance":[256],"tested":[257],"Hanley\u2013McNeil":[260],"z-test":[261],"(\u03b1":[262],"=":[263],"0.05).":[264],"Feature":[265],"contributions":[266],"assessed":[268],"permutation-based":[270],"importance.":[271],"Results":[272],"achieved":[275],"an":[276,344],"AUC":[277],"0.75":[279],"(p":[280],"<":[281],"0.05),":[282],"78.26%":[284],"overall":[285],"85.71%":[287],"66.67%":[290],"specificity.":[291],"confusion":[293],"matrix":[294],"indicated":[295],"reliable":[296],"differentiation":[297],"between":[298],"levels.":[305],"Top":[306],"predictors":[307],"daily":[309],"steps,":[310],"circadian":[311],"rhythm":[312],"(mesor),":[313],"age,":[315],"highlighting":[316],"both":[317],"behavioural":[318],"physiological":[320],"markers":[321],"dynamics.":[324],"Conclusion":[325],"This":[326],"introduces":[328],"novel":[330],"interpretable":[332],"algorithm":[333],"integrated":[348],"sensor.":[352],"provides":[356],"foundation":[358],"integrating":[360],"profiling":[362],"into":[363],"post-cardiac":[364],"care,":[365],"enabling":[366],"more":[367],"tailored":[368],"timely":[370],"intervention.":[371],"Such":[372],"systems":[373],"address":[374],"major":[376],"gap":[377],"current":[379],"strategies":[382],"by":[383],"moving":[384],"beyond":[385],"passive":[386],"tracking":[387],"actionable":[389],"prediction":[390],"vulnerability.Figure":[393],"1.Classifier":[394],"performanceFigure":[395],"2.Feature":[396],"importance":[397]},"counts_by_year":[],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2026-01-14T00:00:00"}
