{"id":"https://openalex.org/W4296645289","doi":"https://doi.org/10.1186/s12911-022-02000-7","title":"A novel dynamic Bayesian network approach for data mining and survival data analysis","display_name":"A novel dynamic Bayesian network approach for data mining and survival data analysis","publication_year":2022,"publication_date":"2022-09-22","ids":{"openalex":"https://openalex.org/W4296645289","doi":"https://doi.org/10.1186/s12911-022-02000-7","pmid":"https://pubmed.ncbi.nlm.nih.gov/36138394"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-022-02000-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-02000-7","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-022-02000-7","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-022-02000-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062653973","display_name":"Ali Sheidaei","orcid":"https://orcid.org/0000-0002-0480-5768"},"institutions":[{"id":"https://openalex.org/I70640408","display_name":"Tehran University of Medical Sciences","ror":"https://ror.org/01c4pz451","country_code":"IR","type":"education","lineage":["https://openalex.org/I70640408"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Sheidaei","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Pour Sina St., Keshavarz Blvd., Tehran, 14176-13151, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Pour Sina St., Keshavarz Blvd., Tehran, 14176-13151, Iran","institution_ids":["https://openalex.org/I70640408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110334988","display_name":"Abbas Rahimi Foroushani","orcid":null},"institutions":[{"id":"https://openalex.org/I70640408","display_name":"Tehran University of Medical Sciences","ror":"https://ror.org/01c4pz451","country_code":"IR","type":"education","lineage":["https://openalex.org/I70640408"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Abbas Rahimi Foroushani","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Pour Sina St., Keshavarz Blvd., Tehran, 14176-13151, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Pour Sina St., Keshavarz Blvd., Tehran, 14176-13151, Iran","institution_ids":["https://openalex.org/I70640408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016890367","display_name":"Kimiya Gohari","orcid":"https://orcid.org/0000-0001-5792-7956"},"institutions":[{"id":"https://openalex.org/I1516879","display_name":"Tarbiat Modares University","ror":"https://ror.org/03mwgfy56","country_code":"IR","type":"education","lineage":["https://openalex.org/I1516879"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Kimiya Gohari","raw_affiliation_strings":["Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran","institution_ids":["https://openalex.org/I1516879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057558544","display_name":"Hojjat Zeraati","orcid":"https://orcid.org/0000-0002-8635-4322"},"institutions":[{"id":"https://openalex.org/I70640408","display_name":"Tehran University of Medical Sciences","ror":"https://ror.org/01c4pz451","country_code":"IR","type":"education","lineage":["https://openalex.org/I70640408"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hojjat Zeraati","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Pour Sina St., Keshavarz Blvd., Tehran, 14176-13151, Iran. zeraatih@tums.ac.ir","Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Pour Sina St., Keshavarz Blvd., Tehran, 14176-13151, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Pour Sina St., Keshavarz Blvd., Tehran, 14176-13151, Iran. zeraatih@tums.ac.ir","institution_ids":["https://openalex.org/I70640408"]},{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Pour Sina St., Keshavarz Blvd., Tehran, 14176-13151, Iran","institution_ids":["https://openalex.org/I70640408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057558544"],"corresponding_institution_ids":["https://openalex.org/I70640408"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":1.5359,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83861027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"1","first_page":"251","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.37700000405311584,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.37700000405311584,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.11079999804496765,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.07010000199079514,"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/censoring","display_name":"Censoring (clinical trials)","score":0.8703732490539551},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.7453064322471619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6444550156593323},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.523301899433136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47683826088905334},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47243982553482056},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45200106501579285},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4402276575565338},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4262700378894806},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30844101309776306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12594953179359436}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.8703732490539551},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.7453064322471619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6444550156593323},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.523301899433136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47683826088905334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47243982553482056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45200106501579285},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4402276575565338},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4262700378894806},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30844101309776306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12594953179359436}],"mesh":[{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","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":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":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-022-02000-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-02000-7","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-022-02000-7","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:36138394","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36138394","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":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9503243","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9503243","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":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:b408d29dc5d24b449243e3f0261eadb4","is_oa":false,"landing_page_url":"https://doaj.org/article/b408d29dc5d24b449243e3f0261eadb4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-15 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12911-022-02000-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-02000-7","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-022-02000-7","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296645289.pdf","grobid_xml":"https://content.openalex.org/works/W4296645289.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W150987698","https://openalex.org/W308794564","https://openalex.org/W1511986666","https://openalex.org/W1575365184","https://openalex.org/W1838853353","https://openalex.org/W1965801346","https://openalex.org/W1979879143","https://openalex.org/W1985425248","https://openalex.org/W2003109266","https://openalex.org/W2042878414","https://openalex.org/W2055057204","https://openalex.org/W2066374950","https://openalex.org/W2070216889","https://openalex.org/W2073792037","https://openalex.org/W2079087023","https://openalex.org/W2079668150","https://openalex.org/W2083274139","https://openalex.org/W2108673310","https://openalex.org/W2110575115","https://openalex.org/W2114229287","https://openalex.org/W2125437673","https://openalex.org/W2132996843","https://openalex.org/W2133722387","https://openalex.org/W2144764581","https://openalex.org/W2147838747","https://openalex.org/W2170873358","https://openalex.org/W2501634593","https://openalex.org/W2519198042","https://openalex.org/W2571597935","https://openalex.org/W2753919178","https://openalex.org/W2789172526","https://openalex.org/W2933807195","https://openalex.org/W2962686511","https://openalex.org/W2962933532","https://openalex.org/W2963232127","https://openalex.org/W2963246719","https://openalex.org/W2975685671","https://openalex.org/W3007724239","https://openalex.org/W3034732970","https://openalex.org/W3039347467","https://openalex.org/W3090174601","https://openalex.org/W3095692171","https://openalex.org/W3122306056","https://openalex.org/W3125597081","https://openalex.org/W3132082823","https://openalex.org/W3199951464","https://openalex.org/W4214512856","https://openalex.org/W4293241248","https://openalex.org/W4301683527","https://openalex.org/W6606178109"],"related_works":["https://openalex.org/W2010631330","https://openalex.org/W2141410053","https://openalex.org/W2064181951","https://openalex.org/W2026784993","https://openalex.org/W4210278448","https://openalex.org/W4220979707","https://openalex.org/W3142993875","https://openalex.org/W3200116493","https://openalex.org/W2159198570","https://openalex.org/W2900876564"],"abstract_inverted_index":{"BACKGROUND:":[0],"Censorship":[1],"is":[2],"the":[3,28,33,42,49,70,87,91,101,108,111,128,136,149,166,185,190,195,207,219,237,242,245,248,254,269,281,305],"primary":[4],"challenge":[5],"in":[6,10,96,133,223,236,304],"survival":[7,88,92,157,200,239,308],"modeling,":[8],"especially":[9,235],"human":[11],"health":[12],"studies.":[13],"The":[14,115,182,215,263,311],"classical":[15,261],"methods":[16],"have":[17],"been":[18],"limited":[19],"by":[20],"applications":[21],"like":[22,27],"Kaplan-Meier":[23,137,208,257],"or":[24],"restricted":[25],"assumptions":[26],"Cox":[29,139,210,231,259],"regression":[30,232,260],"model.":[31],"On":[32],"other":[34],"hand,":[35],"Machine":[36],"learning":[37],"algorithms":[38,55],"commonly":[39],"rely":[40],"on":[41,69,168,194],"high":[43],"dimensionality":[44],"of":[45,110,130,156,184,221,247,307,313,323],"data":[46,301,309],"and":[47,61,93,138,154,158,209,233,258,326],"ignore":[48],"censorship":[50,94],"attribute.":[51],"In":[52,241],"addition,":[53],"these":[54,75],"are":[56,316],"more":[57,285],"sophisticated":[58],"to":[59,73,126,148,179],"understand":[60],"utilize.":[62],"We":[63,78,121,143],"propose":[64],"a":[65,80,123,169,300],"novel":[66],"approach":[67,117,315],"based":[68,193],"Bayesian":[71,83,250,293],"network":[72,84,251,279,294],"address":[74],"issues.":[76],"METHODS:":[77],"proposed":[79,291],"two-slice":[81],"temporal":[82],"model":[85,132,167,186,201,252,295],"for":[86,226],"data,":[89,244,325],"introducing":[90],"status":[95],"each":[97],"observed":[98],"time":[99],"as":[100,299],"dynamic":[102,249,292],"states.":[103],"A":[104],"score-based":[105],"algorithm":[106],"learned":[107],"structure":[109,246],"directed":[112],"acyclic":[113],"graph.":[114],"likelihood":[116],"conducted":[118,122],"parameter":[119],"learning.":[120],"simulation":[124,216],"study":[125,217],"assess":[127],"performance":[129,202],"our":[131,278],"comparison":[134],"with":[135,230,284],"proportional":[140,211],"hazard":[141,212],"regression.":[142],"defined":[144],"various":[145],"scenarios":[146,228],"according":[147],"sample":[150],"size,":[151],"censoring":[152,159],"rate,":[153],"shapes":[155],"distributions":[160],"across":[161],"time.":[162],"Finally,":[163],"we":[164],"fit":[165],"real-world":[170,243],"dataset":[171],"that":[172,277],"includes":[173],"760":[174],"post":[175],"gastrectomy":[176],"surgery":[177],"due":[178],"gastric":[180],"cancer.":[181],"validation":[183,270],"was":[187],"explored":[188],"using":[189,206],"hold-out":[191],"technique":[192,271,303],"posterior":[196,264],"classification":[197,265],"error.":[198],"Our":[199,290],"results":[203],"were":[204],"compared":[205,229],"models.":[213],"RESULTS:":[214],"shows":[218],"superiority":[220],"DBN":[222],"bias":[224],"reduction":[225],"many":[227],"Kaplan-Meier,":[234],"late":[238],"times.":[240],"satisfied":[253],"finding":[255],"from":[256,268],"approaches.":[262],"error":[266],"found":[267],"did":[272],"not":[273],"exceed":[274],"0.04,":[275],"representing":[276],"predicted":[280],"state":[282],"variables":[283],"than":[286],"96%":[287],"accuracy.":[288],"CONCLUSIONS:":[289],"could":[296],"be":[297],"used":[298],"mining":[302],"context":[306],"analysis.":[310],"advantages":[312],"this":[314],"feature":[317],"selection":[318],"ability,":[319],"straightforward":[320],"interpretation,":[321],"handling":[322],"high-dimensional":[324],"few":[327],"assumptions.":[328]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}