{"id":"https://openalex.org/W7171565161","doi":"https://doi.org/10.1145/3807503.3819432","title":"Characterization of Temporal Trajectories of Autoimmune Atrophic Gastritis Using a Graph Representation Learning Pipeline","display_name":"Characterization of Temporal Trajectories of Autoimmune Atrophic Gastritis Using a Graph Representation Learning Pipeline","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7171565161","doi":"https://doi.org/10.1145/3807503.3819432"},"language":null,"primary_location":{"id":"doi:10.1145/3807503.3819432","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3807503.3819432","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3807503.3819432","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136717235","display_name":"Chiara Sirtoli","orcid":null},"institutions":[{"id":"https://openalex.org/I11039511","display_name":"University of Bergamo","ror":"https://ror.org/02mbd5571","country_code":"IT","type":"education","lineage":["https://openalex.org/I11039511"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Sirtoli","raw_affiliation_strings":["Department of Management, Information and Production Engineering, University of Bergamo, Bergamo, Italy"],"raw_orcid":"https://orcid.org/0009-0002-7614-6287","affiliations":[{"raw_affiliation_string":"Department of Management, Information and Production Engineering, University of Bergamo, Bergamo, Italy","institution_ids":["https://openalex.org/I11039511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068449833","display_name":"Arianna Dagliati","orcid":"https://orcid.org/0000-0002-5041-0409"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Arianna Dagliati","raw_affiliation_strings":["Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5041-0409","affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005904384","display_name":"Marco Vincenzo Lenti","orcid":"https://orcid.org/0000-0002-6654-4911"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Vincenzo Lenti","raw_affiliation_strings":["Department of Internal Medicine and Medical Therapeutics, University of Pavia, Pavia, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6654-4911","affiliations":[{"raw_affiliation_string":"Department of Internal Medicine and Medical Therapeutics, University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088008401","display_name":"Antonio Di Sabatino","orcid":"https://orcid.org/0000-0002-0302-8645"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio Di Sabatino","raw_affiliation_strings":["First Department of Internal Medicine, San Matteo Hospital Foundation, Pavia, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0302-8645","affiliations":[{"raw_affiliation_string":"First Department of Internal Medicine, San Matteo Hospital Foundation, Pavia, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072233007","display_name":"Antonio Ferramosca","orcid":"https://orcid.org/0000-0003-3935-9734"},"institutions":[{"id":"https://openalex.org/I11039511","display_name":"University of Bergamo","ror":"https://ror.org/02mbd5571","country_code":"IT","type":"education","lineage":["https://openalex.org/I11039511"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Ferramosca","raw_affiliation_strings":["Department of Management, Information and Production Engineering, University of Bergamo, Bergamo, Italy"],"raw_orcid":"https://orcid.org/0000-0003-3935-9734","affiliations":[{"raw_affiliation_string":"Department of Management, Information and Production Engineering, University of Bergamo, Bergamo, Italy","institution_ids":["https://openalex.org/I11039511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078722193","display_name":"Daniele Pala","orcid":"https://orcid.org/0000-0001-5741-3349"},"institutions":[{"id":"https://openalex.org/I11039511","display_name":"University of Bergamo","ror":"https://ror.org/02mbd5571","country_code":"IT","type":"education","lineage":["https://openalex.org/I11039511"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Pala","raw_affiliation_strings":["Department of Management, Information and Production Engineering, University of Bergamo, Bergamo, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5741-3349","affiliations":[{"raw_affiliation_string":"Department of Management, Information and Production Engineering, University of Bergamo, Bergamo, Italy","institution_ids":["https://openalex.org/I11039511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6089000105857849},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5453000068664551},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5317000150680542},{"id":"https://openalex.org/keywords/atrophic-gastritis","display_name":"Atrophic gastritis","score":0.5271000266075134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.520799994468689},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.3472999930381775}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7123000025749207},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6089000105857849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5839999914169312},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5453000068664551},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5317000150680542},{"id":"https://openalex.org/C2780342937","wikidata":"https://www.wikidata.org/wiki/Q1826391","display_name":"Atrophic gastritis","level":4,"score":0.5271000266075134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.520799994468689},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2930999994277954},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3807503.3819432","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3807503.3819432","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3807503.3819432","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3807503.3819432","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W3042408668","https://openalex.org/W4226107112","https://openalex.org/W4281294549","https://openalex.org/W4318473278","https://openalex.org/W4393254586","https://openalex.org/W4415942839"],"related_works":[],"abstract_inverted_index":{"Autoimmune":[0],"atrophic":[1],"gastritis":[2],"(AAG)":[3],"is":[4,14,25,188],"a":[5,28,63,79,93,104,124,128,144,159,197],"chronic":[6],"autoimmune":[7],"disease":[8,46,154],"affecting":[9],"the":[10,40,60,70,149,170,176,192],"stomach.":[11],"Its":[12],"diagnosis":[13],"based":[15],"on":[16,92],"serologic":[17],"profiles,":[18],"histological":[19,111],"evaluations":[20,112],"and":[21,87,113,136,165],"esophagogastroduodenoscopies":[22],"(EGDSs).":[23],"AAG":[24,71,193],"characterized":[26,51],"by":[27,73],"progressively":[29],"increasing":[30],"mucosal":[31],"damage":[32],"that":[33,81,98,120,185],"can":[34],"lead":[35],"to":[36,68,190],"several":[37],"complications,":[38],"however":[39],"specific":[41],"temporal":[42,75,150],"dynamics":[43],"of":[44,59,62,96,130,172,178],"this":[45],"have":[47],"not":[48],"been":[49],"fully":[50],"yet.":[52],"This":[53],"paper":[54],"presents":[55],"an":[56],"exploratory":[57],"study":[58],"application":[61],"graph":[64,145],"representation":[65],"learning":[66],"method":[67],"model":[69],"progression":[72],"identifying":[74],"phenotypes.":[76],"We":[77],"employed":[78],"procedure":[80],"combines":[82],"Topological":[83],"Data":[84],"Analysis":[85,168],"(TDA)":[86],"Minimum":[88,160],"Spanning":[89,161],"Tree":[90],"filters,":[91],"longitudinal":[94],"dataset":[95,109],"patients":[97],"underwent":[99],"multiple":[100],"EGDSs,":[101],"obtained":[102,143],"from":[103,117],"multicentric":[105],"Italian":[106],"cohort.":[107],"The":[108],"includes":[110],"clinical":[114],"observations":[115],"derived":[116],"text":[118],"notes":[119],"were":[121,156],"annotated":[122],"in":[123,175,196],"previous":[125],"study,":[126],"with":[127,146],"total":[129],"236":[131],"patients,":[132],"836":[133],"EGDSs":[134],"performed,":[135],"18":[137],"variables.":[138],"Using":[139],"our":[140,186],"algorithm,":[141],"we":[142],"weights":[147],"representing":[148],"progression.":[151],"Five":[152],"possible":[153],"trajectories":[155],"identified":[157],"through":[158],"Tree.":[162],"Statistical":[163],"tests":[164],"Cox":[166],"Hazard":[167],"demonstrated":[169],"existence":[171],"significant":[173],"differences":[174],"development":[177],"complications":[179],"timing":[180],"within":[181],"these":[182],"trajectories,":[183],"proving":[184],"approach":[187],"able":[189],"characterize":[191],"evolution":[194],"even":[195],"relatively":[198],"small":[199],"dataset.":[200]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2026-07-29T00:00:00"}
