{"id":"https://openalex.org/W2886958017","doi":"https://doi.org/10.3233/978-1-61499-880-8-157","title":"Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography","display_name":"Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2886958017","doi":"https://doi.org/10.3233/978-1-61499-880-8-157","mag":"2886958017","pmid":"https://pubmed.ncbi.nlm.nih.gov/29968626"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-880-8-157","doi":"https://doi.org/10.3233/978-1-61499-880-8-157","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-880-8-157","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","doyens","jufo-1","ki-jl-1","medline","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"volume":null,"type":"book-chapter","is_traditional":true,"indexed_in":["crossref","pubmed"],"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/A5018005078","display_name":"Arash Gharehbaghi","orcid":"https://orcid.org/0000-0002-3413-2859","observed_orcids":["https://orcid.org/0000-0002-3413-2859"]},"institutions":[{"id":"https://openalex.org/I82509713","display_name":"M\u00e4lardalen University","ror":"https://ror.org/033vfbz75","country_code":"SE","type":"education","lineage":["https://openalex.org/I82509713"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Gharehbaghi Arash","raw_affiliation_strings":["School of Innovation, Design and Technology, M\u00e4lardalen University, V\u00e4ster\u00e5s, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Innovation, Design and Technology, M\u00e4lardalen University, V\u00e4ster\u00e5s, Sweden","institution_ids":["https://openalex.org/I82509713"]}]},{"author_position":"last","author":{"id":null,"display_name":"Babic Ankica","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Babic Ankica","raw_affiliation_strings":["Department of Biomedical Engineering, Link\u00f6ping University, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Link\u00f6ping University, Sweden","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.533,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.98476703,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"251","issue":null,"first_page":"157","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.6693999767303467,"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":0.6693999767303467,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.25270000100135803,"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/T10320","display_name":"Neural Networks and Applications","score":0.016899999231100082,"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/structural-risk","display_name":"structural risk","score":0.8169999718666077},{"id":"https://openalex.org/keywords/hidden-markov-models","display_name":"hidden Markov models","score":0.9940000176429749},{"id":"https://openalex.org/keywords/phonocardiography","display_name":"phonocardiography","score":0.9419999718666077},{"id":"https://openalex.org/keywords/heart-sound-classification","display_name":"heart sound classification","score":0.8119999766349792},{"id":"https://openalex.org/keywords/clinical-information-extraction","display_name":"clinical information extraction","score":0.6159999966621399},{"id":"https://openalex.org/keywords/heart-disease-detection","display_name":"heart disease detection","score":0.421999990940094}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.737758994102478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735752522945404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6773326992988586},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6440012454986572},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5634410381317139},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4902198910713196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3612384498119354}],"mesh":[{"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":"D006347","descriptor_name":"Heart Sounds","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":"D010701","descriptor_name":"Phonocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.3233/978-1-61499-880-8-157","doi":"https://doi.org/10.3233/978-1-61499-880-8-157","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-880-8-157","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","doyens","jufo-1","ki-jl-1","medline","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:29968626","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29968626","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,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in health technology and informatics","raw_type":"Journal Article"},{"id":"mag:2886958017","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29968626","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,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"PubMed","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.504800021648407,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4283726485","https://openalex.org/W7062400930","https://openalex.org/W2593628332","https://openalex.org/W2058465059","https://openalex.org/W2962835126","https://openalex.org/W3090449816","https://openalex.org/W4280522179","https://openalex.org/W4388626915","https://openalex.org/W6911674781","https://openalex.org/W7137903757"],"abstract_inverted_index":{"This":[0,19],"paper":[1],"presents":[2],"a":[3,22,33,38,100],"method":[4,13,20,115],"for":[5,70],"exploring":[6],"structural":[7,29,111],"risk":[8,30],"of":[9,46,74,106],"any":[10],"artificial":[11],"intelligence-based":[12],"in":[14,104,120],"bioinformatics,":[15],"the":[16,28,43,81,85,91,97,107,110,122],"A-Test":[17,114],"method.":[18],"provides":[21,37],"way":[23],"to":[24,41,89],"not":[25],"only":[26],"quantitate":[27],"associated":[31],"with":[32,125],"classification":[34,48,68],"method,":[35],"but":[36],"graphical":[39],"representation":[40],"compare":[42],"learning":[44,123],"capacity":[45,108],"different":[47,51],"methods.":[49],"Two":[50],"methods,":[52],"Deep":[53],"Time":[54,72],"Growing":[55],"Neural":[56],"Network":[57],"(DTGNN)":[58],"and":[59,109],"Hidden":[60],"Markov":[61],"Model":[62],"(HMM),":[63],"are":[64,78,87],"selected":[65],"as":[66,80],"two":[67],"methods":[69,124],"comparison.":[71],"series":[73],"heart":[75],"sound":[76],"signals":[77],"employed":[79,119],"case":[82],"study":[83],"where":[84],"classifiers":[86],"trained":[88],"learn":[90],"disease-related":[92],"changes.":[93],"Results":[94],"showed":[95],"that":[96],"DTGNN":[98],"offers":[99],"superior":[101],"performance":[102],"both":[103],"terms":[105],"risk.":[112],"The":[113],"can":[116],"be":[117],"especially":[118],"comparing":[121],"small":[126],"data":[127],"size.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2018-08-22T00:00:00"}