{"id":"https://openalex.org/W2994102139","doi":"https://doi.org/10.3390/e21121191","title":"Variance Risk Identification and Treatment of Clinical Pathway by Integrated Bayesian Network and Association Rules Mining","display_name":"Variance Risk Identification and Treatment of Clinical Pathway by Integrated Bayesian Network and Association Rules Mining","publication_year":2019,"publication_date":"2019-12-04","ids":{"openalex":"https://openalex.org/W2994102139","doi":"https://doi.org/10.3390/e21121191","mag":"2994102139"},"language":"en","primary_location":{"id":"doi:10.3390/e21121191","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21121191","pdf_url":"https://www.mdpi.com/1099-4300/21/12/1191/pdf?version=1576724971","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/21/12/1191/pdf?version=1576724971","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100631280","display_name":"Gang Du","orcid":"https://orcid.org/0000-0001-7996-0052"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Du","raw_affiliation_strings":["School of Business and Administration, Faculty of Economics and Management, East China Normal University, Shanghai 200062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business and Administration, Faculty of Economics and Management, East China Normal University, Shanghai 200062, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000865861","display_name":"Yinan Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinan Shi","raw_affiliation_strings":["School of Business and Administration, Faculty of Economics and Management, East China Normal University, Shanghai 200062, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business and Administration, Faculty of Economics and Management, East China Normal University, Shanghai 200062, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626360","display_name":"Aijun Liu","orcid":"https://orcid.org/0000-0003-3563-5033"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aijun Liu","raw_affiliation_strings":["Department of Management Engineering, School of Economics & Management, Xidian University, Xi\u2019an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Engineering, School of Economics & Management, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009778796","display_name":"Taoning Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taoning Liu","raw_affiliation_strings":["Department of Management Engineering, School of Economics & Management, Xidian University, Xi\u2019an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Engineering, School of Economics & Management, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100626360"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.4412,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71420047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":"12","first_page":"1191","last_page":"1191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12664","display_name":"Clinical practice guidelines implementation","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T12664","display_name":"Clinical practice guidelines implementation","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/uterine-atony","display_name":"Uterine atony","score":0.7571764588356018},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5660356283187866},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5160298347473145},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46488070487976074},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4247269928455353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42104610800743103},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4206061065196991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2109004259109497},{"id":"https://openalex.org/keywords/hysterectomy","display_name":"Hysterectomy","score":0.09851893782615662},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.08919242024421692}],"concepts":[{"id":"https://openalex.org/C2780659260","wikidata":"https://www.wikidata.org/wiki/Q1418513","display_name":"Uterine atony","level":3,"score":0.7571764588356018},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5660356283187866},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5160298347473145},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46488070487976074},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4247269928455353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42104610800743103},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4206061065196991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2109004259109497},{"id":"https://openalex.org/C2779494336","wikidata":"https://www.wikidata.org/wiki/Q550675","display_name":"Hysterectomy","level":2,"score":0.09851893782615662},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.08919242024421692}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/e21121191","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21121191","pdf_url":"https://www.mdpi.com/1099-4300/21/12/1191/pdf?version=1576724971","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmh:oai:mdpi.com:/1099-4300/21/12/1191/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e21121191","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7514536","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7514536","pdf_url":null,"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,"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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e21121191","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21121191","pdf_url":"https://www.mdpi.com/1099-4300/21/12/1191/pdf?version=1576724971","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G6799936182","display_name":null,"funder_award_id":"Nos. 71472065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G726388532","display_name":null,"funder_award_id":"2017JM7004","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2994102139.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W134186980","https://openalex.org/W1641749581","https://openalex.org/W1843067889","https://openalex.org/W1995092079","https://openalex.org/W2005610312","https://openalex.org/W2009252777","https://openalex.org/W2016035956","https://openalex.org/W2019138611","https://openalex.org/W2020703299","https://openalex.org/W2025308265","https://openalex.org/W2029232455","https://openalex.org/W2057541955","https://openalex.org/W2068978230","https://openalex.org/W2074917083","https://openalex.org/W2088542342","https://openalex.org/W2095164868","https://openalex.org/W2104604625","https://openalex.org/W2106395990","https://openalex.org/W2107207062","https://openalex.org/W2132035238","https://openalex.org/W2133445032","https://openalex.org/W2142827986","https://openalex.org/W2143572888","https://openalex.org/W2152885278","https://openalex.org/W2160788023","https://openalex.org/W2162396230","https://openalex.org/W2170330096","https://openalex.org/W2286778172","https://openalex.org/W2321449838","https://openalex.org/W2460768924","https://openalex.org/W2463715500","https://openalex.org/W2486787275","https://openalex.org/W2518509308","https://openalex.org/W2561902286","https://openalex.org/W2604500960","https://openalex.org/W2771045179","https://openalex.org/W2802270674","https://openalex.org/W4285719527","https://openalex.org/W6605511741","https://openalex.org/W6636756987","https://openalex.org/W6675916448","https://openalex.org/W6676115149"],"related_works":["https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W2065998343","https://openalex.org/W2369717039","https://openalex.org/W2384676159","https://openalex.org/W2982449560","https://openalex.org/W2086429535","https://openalex.org/W2110683262"],"abstract_inverted_index":{"With":[0],"the":[1,9,51,65,73,94,100,120,126,134,145,158,163,167,185,207],"continuous":[2],"development":[3],"of":[4,38,41,53,96,122,128,147,150,180,187,210],"data":[5,19],"mining":[6,20,80],"techniques":[7],"in":[8,14,105,166,213],"medical":[10,202],"field,":[11],"variance":[12,34],"analysis":[13,35,63],"clinical":[15,130,181,211],"pathways":[16,212],"based":[17,88],"on":[18,33,64,89,125],"approaches":[21],"have":[22],"attracted":[23],"increasing":[24],"attention":[25],"from":[26],"scholars":[27],"and":[28,36,69,77,139,156,169,175,205],"decision":[29],"makers.":[30],"However,":[31],"studies":[32],"treatment":[37,70,121],"specific":[39],"kinds":[40],"disease":[42],"are":[43],"still":[44],"relatively":[45],"scarce.":[46],"In":[47,111],"order":[48],"to":[49,161],"reduce":[50],"hazard":[52],"postpartum":[54,106,123,151,188],"hemorrhage":[55,107,124,152,189],"after":[56,108,153],"cesarean":[57,109,154,191],"section,":[58],"we":[59,92,113],"conducted":[60],"a":[61,84,115],"detailed":[62],"relevant":[66],"risk":[67,97,135,141,171],"factors":[68,98,102,136,142,165],"mechanisms,":[71],"adopting":[72],"integrated":[74],"Bayesian":[75,85],"network":[76,86],"association":[78,117],"rule":[79],"approaches.":[81],"By":[82],"proposing":[83],"model":[87],"regression":[90],"analysis,":[91],"calculated":[93],"probability":[95,160],"determining":[99],"key":[101,164],"that":[103],"result":[104],"section.":[110],"addition,":[112],"mined":[114],"few":[116],"rules":[118,179],"regarding":[119],"basis":[127],"different":[129,148],"features.":[131],"We":[132],"divided":[133],"into":[137],"primary":[138,168],"secondary":[140,170],"by":[143],"realizing":[144],"classification":[146],"causes":[149],"section":[155,192],"sorted":[157],"posterior":[159],"obtain":[162],"factors:":[172],"uterine":[173],"atony":[174],"prolonged":[176],"labor.":[177],"The":[178],"features":[182],"associated":[183],"with":[184],"management":[186],"during":[190],"were":[193,198],"obtained.":[194],"Finally,":[195],"related":[196],"strategies":[197],"proposed":[199],"for":[200],"improving":[201],"service":[203],"quality":[204],"enhancing":[206],"rescue":[208],"efficiency":[209],"China.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2019-12-13T00:00:00"}