{"id":"https://openalex.org/W7126014397","doi":"https://doi.org/10.1109/bibm66473.2025.11356268","title":"Automl-Med: A Tool for Optimizing Pipeline Generation in Medical Ml","display_name":"Automl-Med: A Tool for Optimizing Pipeline Generation in Medical Ml","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126014397","doi":"https://doi.org/10.1109/bibm66473.2025.11356268"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5119222155","display_name":"Riccardo Francia","orcid":null},"institutions":[{"id":"https://openalex.org/I123338534","display_name":"Universit\u00e0 degli Studi del Piemonte Orientale \u201cAmedeo Avogadro\u201d","ror":"https://ror.org/04387x656","country_code":"IT","type":"education","lineage":["https://openalex.org/I123338534"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Riccardo Francia","raw_affiliation_strings":["DISIT Computer Science Institute University of Piemonte Orientale,Alessandria,Italy"],"affiliations":[{"raw_affiliation_string":"DISIT Computer Science Institute University of Piemonte Orientale,Alessandria,Italy","institution_ids":["https://openalex.org/I123338534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006546094","display_name":"Giorgio Leonardi","orcid":"https://orcid.org/0000-0002-9533-9722"},"institutions":[{"id":"https://openalex.org/I123338534","display_name":"Universit\u00e0 degli Studi del Piemonte Orientale \u201cAmedeo Avogadro\u201d","ror":"https://ror.org/04387x656","country_code":"IT","type":"education","lineage":["https://openalex.org/I123338534"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giorgio Leonardi","raw_affiliation_strings":["DISIT Computer Science Institute University of Piemonte Orientale,Alessandria,Italy"],"affiliations":[{"raw_affiliation_string":"DISIT Computer Science Institute University of Piemonte Orientale,Alessandria,Italy","institution_ids":["https://openalex.org/I123338534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068568650","display_name":"Stefania Montani","orcid":"https://orcid.org/0000-0002-5992-6735"},"institutions":[{"id":"https://openalex.org/I123338534","display_name":"Universit\u00e0 degli Studi del Piemonte Orientale \u201cAmedeo Avogadro\u201d","ror":"https://ror.org/04387x656","country_code":"IT","type":"education","lineage":["https://openalex.org/I123338534"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefania Montani","raw_affiliation_strings":["DISIT Computer Science Institute University of Piemonte Orientale,Alessandria,Italy"],"affiliations":[{"raw_affiliation_string":"DISIT Computer Science Institute University of Piemonte Orientale,Alessandria,Italy","institution_ids":["https://openalex.org/I123338534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003874484","display_name":"Marzio Pennisi","orcid":"https://orcid.org/0000-0003-0231-7653"},"institutions":[{"id":"https://openalex.org/I123338534","display_name":"Universit\u00e0 degli Studi del Piemonte Orientale \u201cAmedeo Avogadro\u201d","ror":"https://ror.org/04387x656","country_code":"IT","type":"education","lineage":["https://openalex.org/I123338534"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marzio Pennisi","raw_affiliation_strings":["DISIT Computer Science Institute University of Piemonte Orientale,Alessandria,Italy"],"affiliations":[{"raw_affiliation_string":"DISIT Computer Science Institute University of Piemonte Orientale,Alessandria,Italy","institution_ids":["https://openalex.org/I123338534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088441881","display_name":"Manuel Striani","orcid":"https://orcid.org/0000-0002-7600-576X"},"institutions":[{"id":"https://openalex.org/I123338534","display_name":"Universit\u00e0 degli Studi del Piemonte Orientale \u201cAmedeo Avogadro\u201d","ror":"https://ror.org/04387x656","country_code":"IT","type":"education","lineage":["https://openalex.org/I123338534"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Manuel Striani","raw_affiliation_strings":["DISIT Computer Science Institute University of Piemonte Orientale,Alessandria,Italy"],"affiliations":[{"raw_affiliation_string":"DISIT Computer Science Institute University of Piemonte Orientale,Alessandria,Italy","institution_ids":["https://openalex.org/I123338534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121772632","display_name":"M. Leone","orcid":null},"institutions":[{"id":"https://openalex.org/I2800188116","display_name":"Casa Sollievo della Sofferenza","ror":"https://ror.org/00md77g41","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I2800188116","https://openalex.org/I4210153126"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maurizio Leone","raw_affiliation_strings":["Fondazione IRCCS Casa Sollievo della Sofferenza San Giovanni Rotondo,Foggia,Italy"],"affiliations":[{"raw_affiliation_string":"Fondazione IRCCS Casa Sollievo della Sofferenza San Giovanni Rotondo,Foggia,Italy","institution_ids":["https://openalex.org/I2800188116"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sandra D'Alfonso","orcid":null},"institutions":[{"id":"https://openalex.org/I123338534","display_name":"Universit\u00e0 degli Studi del Piemonte Orientale \u201cAmedeo Avogadro\u201d","ror":"https://ror.org/04387x656","country_code":"IT","type":"education","lineage":["https://openalex.org/I123338534"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sandra D'Alfonso","raw_affiliation_strings":["DISS University of Piemonte Orientale,Novara,Italy"],"affiliations":[{"raw_affiliation_string":"DISS University of Piemonte Orientale,Novara,Italy","institution_ids":["https://openalex.org/I123338534"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5119222155"],"corresponding_institution_ids":["https://openalex.org/I123338534"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85185447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6989","last_page":"6996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.5568000078201294,"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"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.5568000078201294,"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":0.1527000069618225,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.11760000139474869,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7218000292778015},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.715499997138977},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.47510001063346863},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41040000319480896},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.39629998803138733},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.3930000066757202},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.3853999972343445},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.36649999022483826}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577000260353088},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7218000292778015},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.715499997138977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6302000284194946},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5672000050544739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5482000112533569},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.47510001063346863},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41040000319480896},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.39629998803138733},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.25360000133514404},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46415627002716064,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W575847903","https://openalex.org/W2087040335","https://openalex.org/W2152803686","https://openalex.org/W2167101736","https://openalex.org/W2309832917","https://openalex.org/W2800571132","https://openalex.org/W2945790622","https://openalex.org/W2974911641","https://openalex.org/W2981477552","https://openalex.org/W3006913750","https://openalex.org/W3099273656","https://openalex.org/W3134987911","https://openalex.org/W3186083588","https://openalex.org/W4228997258","https://openalex.org/W4243072198","https://openalex.org/W4243645092","https://openalex.org/W4393106880"],"related_works":[],"abstract_inverted_index":{"Medical":[0],"datasets":[1,141],"are":[2,121],"typically":[3],"affected":[4],"by":[5],"issues":[6],"such":[7],"as":[8],"missing":[9],"values,":[10],"class":[11,146],"imbalance,":[12,147],"a":[13,18,24],"heterogeneous":[14],"feature":[15],"types,":[16],"and":[17,40,61,69,88,118,145],"high":[19],"number":[20,27],"of":[21,28,66,98],"features":[22],"versus":[23],"relatively":[25],"small":[26],"samples,":[29],"preventing":[30],"machine":[31],"learning":[32],"models":[33,84],"from":[34],"obtaining":[35],"proper":[36],"results":[37,105],"in":[38,109,139,156],"classification":[39],"regression":[41],"tasks.":[42],"This":[43],"paper":[44],"introduces":[45],"AutoML-Med,":[46],"an":[47],"Automated":[48],"Machine":[49,153],"Learning":[50,154],"tool":[51],"specifically":[52],"designed":[53],"to":[54,128,134,151],"address":[55],"these":[56],"challenges,":[57],"minimizing":[58],"user":[59],"intervention":[60],"identifying":[62,124],"the":[63,99],"optimal":[64],"combination":[65],"preprocessing":[67,81,102],"techniques":[68],"predictive":[70],"models.":[71],"AutoML-Med's":[72,107,132],"architecture":[73],"incorporates":[74],"Latin":[75],"Hypercube":[76],"Sampling":[77],"(LHS)":[78],"for":[79,95,123],"exploring":[80],"methods,":[82],"trains":[83],"using":[85],"selected":[86],"metrics,":[87],"utilizes":[89],"Partial":[90],"Rank":[91],"Correlation":[92],"Coefficient":[93],"(PRCC)":[94],"fine-tuned":[96],"optimization":[97],"most":[100],"influential":[101],"steps.":[103],"Experimental":[104],"demonstrate":[106],"effectiveness":[108],"two":[110],"different":[111],"clinical":[112],"settings,":[113],"achieving":[114],"higher":[115],"balanced":[116],"accuracy":[117],"sensitivity,":[119],"which":[120],"crucial":[122],"at-risk":[125],"patients,":[126],"compared":[127],"other":[129],"state-of-the-art":[130],"tools.":[131],"ability":[133],"improve":[135],"prediction":[136],"results,":[137],"especially":[138],"medical":[140],"with":[142],"sparse":[143],"data":[144],"highlights":[148],"its":[149],"potential":[150],"streamline":[152],"applications":[155],"healthcare.":[157]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2026-01-30T00:00:00"}
