{"id":"https://openalex.org/W4295479537","doi":"https://doi.org/10.1109/embc48229.2022.9871165","title":"Stress Inference from Abdominal Sounds using Machine Learning","display_name":"Stress Inference from Abdominal Sounds using Machine Learning","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4295479537","doi":"https://doi.org/10.1109/embc48229.2022.9871165","pmid":"https://pubmed.ncbi.nlm.nih.gov/36083920"},"language":"en","primary_location":{"id":"doi:10.1109/embc48229.2022.9871165","is_oa":true,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871165","pdf_url":"https://ieeexplore.ieee.org/ielx7/9870821/9870822/09871165.pdf","source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/9870821/9870822/09871165.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012916218","display_name":"Erika Bondareva","orcid":"https://orcid.org/0000-0002-2046-3278"},"institutions":[{"id":"https://openalex.org/I4210098141","display_name":"Nokia (United Kingdom)","ror":"https://ror.org/00zpf0626","country_code":"GB","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210098141"]},{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Erika Bondareva","raw_affiliation_strings":["University of Cambridge,Dept of Computer Science and Technology,UK","Nokia Bell Labs, Cambridge, UK","Dept of Computer Science and Technology, University of Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge,Dept of Computer Science and Technology,UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Nokia Bell Labs, Cambridge, UK","institution_ids":["https://openalex.org/I4210098141"]},{"raw_affiliation_string":"Dept of Computer Science and Technology, University of Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012168451","display_name":"Marios Constantinides","orcid":"https://orcid.org/0000-0003-1454-0641"},"institutions":[{"id":"https://openalex.org/I4210098141","display_name":"Nokia (United Kingdom)","ror":"https://ror.org/00zpf0626","country_code":"GB","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210098141"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marios Constantinides","raw_affiliation_strings":["Nokia Bell Labs,Cambridge,UK","Nokia Bell Labs, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Cambridge,UK","institution_ids":["https://openalex.org/I4210098141"]},{"raw_affiliation_string":"Nokia Bell Labs, Cambridge, UK","institution_ids":["https://openalex.org/I4210098141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013573136","display_name":"Michael S. Eggleston","orcid":"https://orcid.org/0000-0002-2255-4966"},"institutions":[{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael S. Eggleston","raw_affiliation_strings":["Nokia Bell Labs,Murray Hill,NJ,USA","Nokia Bell Labs, Murray Hill, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Murray Hill,NJ,USA","institution_ids":["https://openalex.org/I72090969"]},{"raw_affiliation_string":"Nokia Bell Labs, Murray Hill, NJ, USA","institution_ids":["https://openalex.org/I72090969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084465907","display_name":"Ireneusz Jab\u0142o\u0144ski","orcid":"https://orcid.org/0000-0002-4963-5790"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Ireneusz Jablonski","raw_affiliation_strings":["Wroclaw University of Science and Technology, Poland and Nokia,Wroclaw,Poland","Wroclaw University of Science and Technology, Poland and Nokia, Wroclaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wroclaw University of Science and Technology, Poland and Nokia,Wroclaw,Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]},{"raw_affiliation_string":"Wroclaw University of Science and Technology, Poland and Nokia, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010623957","display_name":"Cecilia Mascolo","orcid":"https://orcid.org/0000-0001-9614-4380"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cecilia Mascolo","raw_affiliation_strings":["University of Cambridge,Dept of Computer Science and Technology,UK","Dept of Computer Science and Technology, University of Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge,Dept of Computer Science and Technology,UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Dept of Computer Science and Technology, University of Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026001191","display_name":"Z. Radivojevi\u0107","orcid":"https://orcid.org/0000-0002-2323-274X"},"institutions":[{"id":"https://openalex.org/I4210098141","display_name":"Nokia (United Kingdom)","ror":"https://ror.org/00zpf0626","country_code":"GB","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210098141"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zoran Radivojevic","raw_affiliation_strings":["Nokia Bell Labs,Cambridge,UK","Nokia Bell Labs, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Cambridge,UK","institution_ids":["https://openalex.org/I4210098141"]},{"raw_affiliation_string":"Nokia Bell Labs, Cambridge, UK","institution_ids":["https://openalex.org/I4210098141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038043083","display_name":"Sanja \u0160\u0107epanovi\u0107","orcid":"https://orcid.org/0000-0002-1534-8128"},"institutions":[{"id":"https://openalex.org/I4210098141","display_name":"Nokia (United Kingdom)","ror":"https://ror.org/00zpf0626","country_code":"GB","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210098141"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sanja Scepanovic","raw_affiliation_strings":["Nokia Bell Labs,Cambridge,UK","Nokia Bell Labs, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Cambridge,UK","institution_ids":["https://openalex.org/I4210098141"]},{"raw_affiliation_string":"Nokia Bell Labs, Cambridge, UK","institution_ids":["https://openalex.org/I4210098141"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012916218"],"corresponding_institution_ids":["https://openalex.org/I241749","https://openalex.org/I4210098141"],"apc_list":null,"apc_paid":null,"fwci":1.1303,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74916388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2022","issue":null,"first_page":"1985","last_page":"1988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11768","display_name":"Music Therapy and Health","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T11768","display_name":"Music Therapy and Health","score":0.9984999895095825,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6872779726982117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5426902770996094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4673267900943756},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46702125668525696},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4335589110851288},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.42346689105033875},{"id":"https://openalex.org/keywords/stroop-effect","display_name":"Stroop effect","score":0.419014036655426},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4160434603691101},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22560054063796997},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.09802573919296265}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6872779726982117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5426902770996094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4673267900943756},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46702125668525696},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4335589110851288},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.42346689105033875},{"id":"https://openalex.org/C162967406","wikidata":"https://www.wikidata.org/wiki/Q384176","display_name":"Stroop effect","level":3,"score":0.419014036655426},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4160434603691101},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22560054063796997},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.09802573919296265},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"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":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000162","descriptor_name":"Acoustics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000162","descriptor_name":"Acoustics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000162","descriptor_name":"Acoustics","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":"D013016","descriptor_name":"Sound","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013016","descriptor_name":"Sound","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013016","descriptor_name":"Sound","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc48229.2022.9871165","is_oa":true,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871165","pdf_url":"https://ieeexplore.ieee.org/ielx7/9870821/9870822/09871165.pdf","source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:36083920","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36083920","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/embc48229.2022.9871165","is_oa":true,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871165","pdf_url":"https://ieeexplore.ieee.org/ielx7/9870821/9870822/09871165.pdf","source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G2136402141","display_name":"EPSRC Centre for Doctoral Training (CDT) in Sensor Technologies and Application","funder_award_id":"EP/L015889/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2561383389","display_name":null,"funder_award_id":"L015889","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320273","display_name":"University of Cambridge","ror":"https://ror.org/013meh722"},{"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/W4295479537.pdf","grobid_xml":"https://content.openalex.org/works/W4295479537.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1597349997","https://openalex.org/W1989012023","https://openalex.org/W1992922932","https://openalex.org/W2026267776","https://openalex.org/W2029065884","https://openalex.org/W2054629340","https://openalex.org/W2058649375","https://openalex.org/W2069789324","https://openalex.org/W2080414792","https://openalex.org/W2102772752","https://openalex.org/W2120357670","https://openalex.org/W2166150158","https://openalex.org/W2297328888","https://openalex.org/W2889342907","https://openalex.org/W2925001063","https://openalex.org/W2973077301","https://openalex.org/W2974457857","https://openalex.org/W3000530886","https://openalex.org/W3052930344"],"related_works":["https://openalex.org/W1970555053","https://openalex.org/W4241390462","https://openalex.org/W2053629062","https://openalex.org/W2057396539","https://openalex.org/W3205260276","https://openalex.org/W2091287875","https://openalex.org/W2412548067","https://openalex.org/W2368315872","https://openalex.org/W2061347168","https://openalex.org/W2129927767"],"abstract_inverted_index":{"century's":[0],"epidemic,":[1],"affecting":[2],"more":[3],"than":[4],"a":[5,29,46,51,69,74,129,161],"third":[6],"of":[7,65,81,100],"the":[8,79,85,98,151,154],"globe's":[9],"population.":[10],"Long-term":[11],"exposure":[12],"to":[13,45],"stress":[14,33,87,143,158,165],"has":[15],"significant":[16],"side":[17],"effects":[18],"on":[19,84,104],"physical":[20],"and":[21,118,125,157,159],"mental":[22],"health.":[23],"In":[24,59],"this":[25,38],"work":[26],"we":[27,61,96,134],"propose":[28],"methodology":[30],"for":[31,56,164],"detecting":[32,139],"using":[34,68,90,101,170],"abdominal":[35,66,140,168],"sounds.":[36],"For":[37],"study,":[39],"eight":[40],"participants":[41],"were":[42],"either":[43],"exposed":[44],"stressful":[47],"(Stroop":[48],"test)":[49],"or":[50],"relaxing":[52],"(guided":[53],"meditation)":[54],"stimulus":[55],"ten":[57],"days.":[58],"total,":[60],"collected":[62],"104":[63],"hours":[64],"sounds":[67,141,169],"custom":[70],"wearable":[71],"device":[72],"in":[73,110,138],"belt":[75],"form-factor.":[76],"We":[77],"explored":[78],"effect":[80],"various":[82],"features":[83,103,113],"binary":[86],"classification":[88],"accuracy":[89,137],"traditional":[91],"machine":[92,171],"learning":[93],"methods.":[94],"Namely,":[95],"observed":[97],"impact":[99],"acoustic":[102],"their":[105],"own,":[106],"as":[107,109],"well":[108],"combination":[111],"with":[112],"representing":[114],"current":[115],"mood":[116],"state,":[117],"hand-crafted":[119],"domain-specific":[120],"features.":[121],"After":[122],"feature":[123],"extraction":[124],"reduction,":[126],"by":[127],"utilising":[128],"multilayer":[130],"perceptron":[131],"classifier":[132],"model":[133],"achieved":[135],"77%":[136],"under":[142],"exposure.":[144],"Clinical":[145],"relevance-":[146],"This":[147],"feasibility":[148],"study":[149],"confirms":[150],"link":[152],"between":[153],"gastrointestinal":[155],"system":[156],"uncovers":[160],"novel":[162],"approach":[163],"inference":[166],"via":[167],"learning.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
