{"id":"https://openalex.org/W4417032094","doi":"https://doi.org/10.1145/3748522.3779942","title":"Adaptive Identification and Modeling of Clinical Pathways with Process Mining","display_name":"Adaptive Identification and Modeling of Clinical Pathways with Process Mining","publication_year":2026,"publication_date":"2026-03-23","ids":{"openalex":"https://openalex.org/W4417032094","doi":"https://doi.org/10.1145/3748522.3779942"},"language":null,"primary_location":{"id":"doi:10.1145/3748522.3779942","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748522.3779942","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3748522.3779942","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101694358","display_name":"Francesco Vitale","orcid":"https://orcid.org/0000-0003-2325-0056"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Vitale","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, University of Naples Federico II, Napoli, Italy"],"raw_orcid":"https://orcid.org/0000-0003-2325-0056","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Napoli, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045567395","display_name":"Nicola Mazzocca","orcid":"https://orcid.org/0000-0002-0401-9687"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Mazzocca","raw_affiliation_strings":["University of Naples Federico II, Napoli, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0401-9687","affiliations":[{"raw_affiliation_string":"University of Naples Federico II, Napoli, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00342721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"132","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.0035000001080334187,"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/T12664","display_name":"Clinical practice guidelines implementation","score":0.003100000089034438,"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/process","display_name":"Process (computing)","score":0.644599974155426},{"id":"https://openalex.org/keywords/conformance-checking","display_name":"Conformance checking","score":0.6359000205993652},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6241000294685364},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5819000005722046},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5285999774932861},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5095999836921692},{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.47380000352859497},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.47029998898506165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193999886512756},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.644599974155426},{"id":"https://openalex.org/C2775948798","wikidata":"https://www.wikidata.org/wiki/Q5160261","display_name":"Conformance checking","level":5,"score":0.6359000205993652},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6241000294685364},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5819000005722046},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5285999774932861},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5095999836921692},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49779999256134033},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.47380000352859497},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.47029998898506165},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.4575999975204468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4108999967575073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4059999883174896},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C2778373050","wikidata":"https://www.wikidata.org/wiki/Q1774706","display_name":"Clinical pathway","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C2989236134","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Patient care","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3748522.3779942","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748522.3779942","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2512.03787","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.03787","pdf_url":"https://arxiv.org/pdf/2512.03787","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2512.03787","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.03787","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1145/3748522.3779942","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748522.3779942","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Clinical":[0],"pathways":[1,37,78,176],"are":[2,12],"specialized":[3],"healthcare":[4],"plans":[5],"that":[6,166],"model":[7,117],"patient":[8,20,30,154],"treatment":[9,98],"procedures.":[10],"They":[11],"developed":[13],"to":[14,96,118,138,181],"provide":[15],"criteria-based":[16],"progression":[17],"and":[18,28,42,47],"standardize":[19],"treatment,":[21],"thereby":[22],"improving":[23],"care,":[24],"reducing":[25],"resource":[26],"use,":[27],"accelerating":[29],"recovery.":[31],"However,":[32],"manual":[33],"modeling":[34,66],"of":[35,60,76,90,102,174,189],"these":[36],"based":[38],"on":[39,122],"clinical":[40,77,175],"guidelines":[41],"domain":[43],"expertise":[44],"is":[45,94,112],"difficult":[46],"may":[48],"not":[49],"reflect":[50],"the":[51,73,85,100,107,115,123,127,171],"actual":[52],"best":[53],"practices":[54],"for":[55,156],"different":[56],"variations":[57],"or":[58,141],"combinations":[59],"diseases.":[61],"We":[62,144],"propose":[63],"a":[64,91,103,150],"two-phase":[65],"method":[67,168],"using":[68,148],"process":[69,104],"mining,":[70],"which":[71],"extends":[72],"knowledge":[74,128,172],"base":[75,129,173],"by":[79],"leveraging":[80],"conformance":[81,124],"checking":[82,125],"diagnostics.":[83],"In":[84,106],"first":[86],"phase,":[87,109],"historical":[88],"data":[89,111],"given":[92],"disease":[93,142],"collected":[95],"capture":[97],"in":[99],"form":[101],"model.":[105],"second":[108],"new":[110,139],"compared":[113],"against":[114],"reference":[116],"verify":[119],"conformance.":[120],"Based":[121],"results,":[126],"can":[130],"be":[131],"expanded":[132],"with":[133,159,177],"more":[134],"specific":[135],"models":[136],"tailored":[137],"variants":[140],"combinations.":[143],"demonstrate":[145],"our":[146,167],"approach":[147],"Synthea,":[149],"benchmark":[151],"dataset":[152],"simulating":[153],"treatments":[155],"SARS-CoV-2":[157],"infections":[158],"varying":[160],"COVID-19":[161],"complications.":[162],"The":[163],"results":[164],"show":[165],"enables":[169],"expanding":[170],"sufficient":[178],"precision,":[179],"peaking":[180],"95.62%":[182],"AUC":[183],"while":[184],"maintaining":[185],"an":[186],"arc-degree":[187],"simplicity":[188],"67.11%.":[190]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-05T00:00:00"}
