{"id":"https://openalex.org/W1965405061","doi":"https://doi.org/10.1145/2141622.2141642","title":"MCMC Bayesian inference for heart sounds screening in assistive environments","display_name":"MCMC Bayesian inference for heart sounds screening in assistive environments","publication_year":2011,"publication_date":"2011-05-25","ids":{"openalex":"https://openalex.org/W1965405061","doi":"https://doi.org/10.1145/2141622.2141642","mag":"1965405061"},"language":"en","primary_location":{"id":"doi:10.1145/2141622.2141642","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2141622.2141642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012359011","display_name":"Manolis \u039caragoudakis","orcid":"https://orcid.org/0000-0001-7701-0141"},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Manolis Maragoudakis","raw_affiliation_strings":["University of Aegean","#R##N#University of Aegean"],"affiliations":[{"raw_affiliation_string":"University of Aegean","institution_ids":["https://openalex.org/I98805295"]},{"raw_affiliation_string":"#R##N#University of Aegean","institution_ids":["https://openalex.org/I98805295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109832614","display_name":"Euripides Loukis","orcid":null},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Euripides Loukis","raw_affiliation_strings":["University of Aegean","#R##N#University of Aegean"],"affiliations":[{"raw_affiliation_string":"University of Aegean","institution_ids":["https://openalex.org/I98805295"]},{"raw_affiliation_string":"#R##N#University of Aegean","institution_ids":["https://openalex.org/I98805295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012359011"],"corresponding_institution_ids":["https://openalex.org/I98805295"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07128274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9994000196456909,"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/T11309","display_name":"Music and Audio Processing","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9419999718666077,"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/computer-science","display_name":"Computer science","score":0.753821849822998},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.7136166095733643},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5374792814254761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49822330474853516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48147860169410706},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4523410201072693},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.444997638463974},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.40822654962539673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.753821849822998},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.7136166095733643},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5374792814254761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49822330474853516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48147860169410706},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4523410201072693},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.444997638463974},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.40822654962539673}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2141622.2141642","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2141622.2141642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.711.6800","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.711.6800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.icsd.aegean.gr/publication_files/conference/188999865.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1517555081","https://openalex.org/W1545197266","https://openalex.org/W1615454278","https://openalex.org/W1857397777","https://openalex.org/W1975413862","https://openalex.org/W1980860850","https://openalex.org/W2026068747","https://openalex.org/W2053131724","https://openalex.org/W2058465059","https://openalex.org/W2061287561","https://openalex.org/W2066858243","https://openalex.org/W2069739265","https://openalex.org/W2076941119","https://openalex.org/W2109723817","https://openalex.org/W2113352354","https://openalex.org/W2118060266","https://openalex.org/W2122755543","https://openalex.org/W2122843953","https://openalex.org/W2126724417","https://openalex.org/W2130319253","https://openalex.org/W2142216104","https://openalex.org/W2143047084","https://openalex.org/W2143755314","https://openalex.org/W2144731007","https://openalex.org/W2155406449","https://openalex.org/W2157855361","https://openalex.org/W2159080219","https://openalex.org/W2162281514","https://openalex.org/W2163780142","https://openalex.org/W2166735184","https://openalex.org/W2288651550","https://openalex.org/W2395674091","https://openalex.org/W2412385255","https://openalex.org/W2470971396","https://openalex.org/W3020913839","https://openalex.org/W3133236490","https://openalex.org/W4211064163","https://openalex.org/W4285719527","https://openalex.org/W6656953547","https://openalex.org/W6683319372","https://openalex.org/W7073764718"],"related_works":["https://openalex.org/W2057057690","https://openalex.org/W2368184788","https://openalex.org/W2358964818","https://openalex.org/W2359535128","https://openalex.org/W2381332051","https://openalex.org/W2321443665","https://openalex.org/W3087071515","https://openalex.org/W2375699995","https://openalex.org/W2043719711","https://openalex.org/W2364072231"],"abstract_inverted_index":{"The":[0,172,210],"large":[1,239],"scale":[2,240],"application":[3,241],"of":[4,13,24,49,90,114,185,242],"ICT-based":[5,140,243],"assistive":[6,141,244],"environment":[7,245],"technologies":[8],"for":[9,64,87,111,129,234],"the":[10,54,120,126,134,138],"home":[11],"care":[12],"elderly":[14],"and":[15,52,68,85,137,178,197],"disabled":[16],"people":[17],"is":[18,45,80,144,223],"going":[19,46],"to":[20,29,37,47,72,82,95,103,236],"generate":[21],"huge":[22],"numbers":[23],"signals":[25,92,124],"transmitted":[26],"from":[27,125,165,192],"homes":[28],"local":[30],"health":[31],"centers":[32],"or":[33,207],"hospitals":[34],"in":[35,75,93,132,162,180,217],"order":[36,71,94],"be":[38,48,104],"monitored":[39],"by":[40],"medical":[41,195],"personnel.":[42],"This":[43,106],"task":[44],"critical":[50],"importance":[51],"at":[53],"same":[55],"time":[56],"-":[57,61],"if":[58],"manually":[59],"performed":[60],"quite":[62],"demanding":[63],"specialized":[65],"human":[66,127],"resources":[67],"costly.":[69],"In":[70],"perform":[73],"it":[74,79],"a":[76,109,147,166,181,214,237],"cost-efficient":[77],"manner":[78],"necessary":[81],"develop":[83],"mechanisms":[84],"methods":[86],"automated":[88],"screening":[89,113,220],"these":[91],"identify":[96],"abnormal":[97],"ones":[98,199],"that":[99],"require":[100],"some":[101],"action":[102],"taken.":[105],"paper":[107],"proposes":[108],"method":[110],"automatic":[112],"heart":[115,187],"sound":[116,188],"signals,":[117,189],"which":[118,157,190,222],"are":[119],"most":[121],"widely":[122,227],"acquired":[123],"body":[128],"diagnostic":[130],"purposes":[131],"both":[133,193],"'traditional'":[135],"medicine":[136],"emerging":[139],"environments.":[142],"It":[143],"based":[145],"on":[146],"novel":[148],"Markov":[149],"Chain":[150],"Monte":[151],"Carlo":[152],"(MCMC)":[153],"Bayesian":[154],"Inference":[155],"approach,":[156],"estimates":[158],"conditional":[159],"probability":[160],"distributions":[161],"structures":[163],"obtained":[164],"Tree-Augmented":[167],"Na\u00efve":[168],"Bayes":[169],"(TAN)":[170],"algorithm.":[171],"proposed":[173,211],"approach":[174,212],"has":[175],"been":[176],"applied":[177],"validated":[179],"difficult":[182,219],"heterogeneous":[183],"dataset":[184],"198":[186],"comes":[191],"healthy":[194],"cases":[196],"unhealthy":[198],"having":[200],"Aortic":[201,205],"Stenosis,":[202],"Mitral":[203,208],"Regurgitation,":[204],"Regurgitation":[206],"Stenosis.":[209],"achieved":[213],"good":[215],"performance":[216],"this":[218],"problem,":[221],"higher":[224],"than":[225],"other":[226],"used":[228],"alternative":[229],"classifiers,":[230],"showing":[231],"great":[232],"potential":[233],"contributing":[235],"cost-effective":[238],"technologies.":[246]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
