{"id":"https://openalex.org/W2807201128","doi":"https://doi.org/10.1109/jbhi.2018.2820054","title":"Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care","display_name":"Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care","publication_year":2018,"publication_date":"2018-06-05","ids":{"openalex":"https://openalex.org/W2807201128","doi":"https://doi.org/10.1109/jbhi.2018.2820054","mag":"2807201128","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994340"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2018.2820054","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2820054","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/8602373/08372446.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/6221020/8602373/08372446.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055850985","display_name":"Tingting Zhu","orcid":"https://orcid.org/0000-0002-1552-5630"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Tingting Zhu","raw_affiliation_strings":["University of Oxford, Oxford, Oxfordshire, GB"],"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, Oxfordshire, GB","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043870720","display_name":"Marco A. F. Pimentel","orcid":"https://orcid.org/0000-0002-3696-8852"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marco A. F. Pimentel","raw_affiliation_strings":["University of Oxford, Oxford, Oxfordshire, GB"],"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, Oxfordshire, GB","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048842509","display_name":"Gari D. Clifford","orcid":"https://orcid.org/0000-0002-5709-201X"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gari D. Clifford","raw_affiliation_strings":["Emory University, Atlanta, GA, US"],"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, US","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040302008","display_name":"David A. Clifton","orcid":"https://orcid.org/0000-0002-9848-8555"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David A. Clifton","raw_affiliation_strings":["University of Oxford, Oxford, Oxfordshire, GB"],"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, Oxfordshire, GB","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055850985"],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":{"value":2037,"currency":"EUR","value_usd":2196},"fwci":1.6924,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88060527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"23","issue":"1","first_page":"47","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9805999994277954,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9805999994277954,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8199489712715149},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6851215362548828},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6346799731254578},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6133643388748169},{"id":"https://openalex.org/keywords/biosignal","display_name":"Biosignal","score":0.5864513516426086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.571249783039093},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5513390302658081},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5208373665809631},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5041979551315308},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4786066710948944},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4646337330341339},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12054190039634705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8199489712715149},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6851215362548828},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6346799731254578},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6133643388748169},{"id":"https://openalex.org/C2779055241","wikidata":"https://www.wikidata.org/wiki/Q644240","display_name":"Biosignal","level":3,"score":0.5864513516426086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.571249783039093},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5513390302658081},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5208373665809631},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5041979551315308},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4786066710948944},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4646337330341339},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12054190039634705},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","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":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008490","descriptor_name":"Medical Informatics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008490","descriptor_name":"Medical Informatics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008490","descriptor_name":"Medical Informatics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2018.2820054","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2820054","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/8602373/08372446.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:29994340","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994340","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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/jbhi.2018.2820054","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2820054","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/8602373/08372446.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5019429144","display_name":null,"funder_award_id":"EP/P009824/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5048751664","display_name":null,"funder_award_id":"EP/G036861/1","funder_id":"https://openalex.org/F4320320240","funder_display_name":"Research Councils UK"},{"id":"https://openalex.org/G5738782026","display_name":null,"funder_award_id":"EP/N020774/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G786840976","display_name":"Centre for Doctoral Training in Healthcare Innovation","funder_award_id":"EP/G036861/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7899685337","display_name":null,"funder_award_id":"Grant EP/G036861/1","funder_id":"https://openalex.org/F4320320240","funder_display_name":"Research Councils UK"}],"funders":[{"id":"https://openalex.org/F4320320240","display_name":"Research Councils UK","ror":"https://ror.org/00dq2kk65"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2807201128.pdf","grobid_xml":"https://content.openalex.org/works/W2807201128.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1249696972","https://openalex.org/W1510771325","https://openalex.org/W1978062184","https://openalex.org/W1993269018","https://openalex.org/W2005147855","https://openalex.org/W2006775579","https://openalex.org/W2012638909","https://openalex.org/W2036887984","https://openalex.org/W2061185532","https://openalex.org/W2069636918","https://openalex.org/W2096207160","https://openalex.org/W2098316015","https://openalex.org/W2101022607","https://openalex.org/W2124106073","https://openalex.org/W2128478356","https://openalex.org/W2132333355","https://openalex.org/W2134305421","https://openalex.org/W2149273804","https://openalex.org/W2154084226","https://openalex.org/W2164124780","https://openalex.org/W2228666857","https://openalex.org/W2327960307","https://openalex.org/W2441461845","https://openalex.org/W2937543702","https://openalex.org/W3016557792","https://openalex.org/W3099601712","https://openalex.org/W3145913229","https://openalex.org/W6628234986","https://openalex.org/W6674577260","https://openalex.org/W6674640124","https://openalex.org/W6679959949","https://openalex.org/W6682171051","https://openalex.org/W6718572795","https://openalex.org/W6761898732"],"related_works":["https://openalex.org/W83544588","https://openalex.org/W4281641048","https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158","https://openalex.org/W3049691116","https://openalex.org/W2106867672","https://openalex.org/W4310268968","https://openalex.org/W3081214562"],"abstract_inverted_index":{"The":[0,165],"role":[1],"of":[2,21,136,156,205,240,251,318,324],"sensing":[3],"technologies,":[4],"such":[5,46,139],"as":[6,140,201],"wearables,":[7],"in":[8,83,99,144,183,218,295,307],"delivering":[9],"precision":[10,155],"care":[11,323],"is":[12,28,68],"becoming":[13],"widely":[14],"acceptable.":[15],"Given":[16],"the":[17,64,102,134,137,151,162,175,180,184,202,206,219,237,241,248,276,282,312,315,322,325],"very":[18],"large":[19],"quantities":[20],"sensor":[22,38,55,207],"data":[23,56],"that":[24,189,266,281,300],"rapidly":[25],"accumulate,":[26],"there":[27],"a":[29,224],"need":[30],"to":[31,35,63,72,76,130,148,161,173,214,228,233,253,261],"employ":[32],"automated":[33],"algorithms":[34,52,75,87,121],"label":[36],"biosignal":[37],"data.":[39],"In":[40],"many":[41],"real-life":[42,296],"clinical":[43],"applications,":[44,309],"no":[45],"expert":[47],"labels":[48,113,132],"are":[49,127,285,302],"available,":[50,124],"and":[51,116,154,194,255,299],"for":[53,91,96,101,111,305,314,320],"processing":[54],"must":[57],"be":[58,89,171],"relied":[59],"upon,":[60],"without":[61,159],"access":[62,160],"\"ground":[65],"truth.\"":[66],"It":[67],"therefore":[69],"extremely":[70],"difficult":[71],"choose":[73],"which":[74],"trust":[77],"or":[78,94],"discard":[79],"at":[80],"any":[81],"point":[82],"time,":[84],"where":[85,123],"different":[86,92,97],"may":[88,169],"optimal":[90],"patients,":[93],"even":[95],"points":[98],"time":[100,182],"same":[103],"patient.":[104],"We":[105,243,264,278],"propose":[106],"two":[107,256],"fully":[108],"Bayesian":[109,226],"approaches":[110,273],"fusing":[112,195],"from":[114,246,275],"independent":[115],"potentially":[117],"correlated":[118],"annotators":[119],"(i.e.,":[120,133],"or,":[122],"experts).":[125],"These":[126],"generative":[128],"models":[129,252,269],"aggregate":[131],"outputs":[135],"algorithms,":[138],"identified":[141],"ECG":[142],"morphology)":[143],"an":[145],"unsupervised":[146],"manner,":[147],"estimate":[149,168],"jointly":[150],"assumed":[152],"bias":[153],"each":[157],"algorithm":[158],"ground":[163,177],"truth.":[164,178],"latter":[166],"fused":[167],"then":[170],"used":[172],"infer":[174],"underlying":[176],"For":[179],"first":[181],"biomedical":[185,259,297],"context,":[186],"we":[187,222],"show":[188,265,280],"modeling":[190],"correlations":[191],"between":[192],"annotators,":[193],"information":[196],"concerning":[197],"task":[198],"difficulty":[199],"(such":[200],"estimated":[203],"quality":[204],"data),":[208],"improve":[209,234],"these":[210],"estimates":[211,235],"with":[212,289],"respect":[213],"commonly":[215],"employed":[216],"strategies":[217],"literature.":[220,277],"Also,":[221],"adopt":[223],"strongly":[225],"approach":[227],"inference":[229],"using":[230],"Gibbs":[231],"sampling":[232],"over":[236],"existing":[238,272],"state":[239],"art.":[242],"present":[244],"results":[245],"applying":[247],"proposed":[249,268,283],"pair":[250],"simulated":[254],"publicly":[257],"available":[258],"datasets,":[260],"demonstrate":[262],"proof-of-principle.":[263],"our":[267],"outperform":[270],"all":[271],"recreated":[274],"also":[279],"methods":[284],"robust":[286],"when":[287],"dealing":[288],"missing":[290],"values":[291],"(as":[292],"often":[293],"occurs":[294],"applications),":[298],"they":[301],"suitably":[303],"efficient":[304],"use":[306,317],"real-time":[308],"thereby":[310],"providing":[311],"basis":[313],"reliable":[316],"sensors":[319],"personalizing":[321],"individual.":[326]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
