{"id":"https://openalex.org/W7162492419","doi":"https://doi.org/10.5281/zenodo.20416017","title":"A Survey around GenAI-Assisted Decision Trees on the UCI Heart Disease Datase","display_name":"A Survey around GenAI-Assisted Decision Trees on the UCI Heart Disease Datase","publication_year":2026,"publication_date":"2026-05-27","ids":{"openalex":"https://openalex.org/W7162492419","doi":"https://doi.org/10.5281/zenodo.20416017"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.20416017","doi":"https://doi.org/10.5281/zenodo.20416017","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.20416017","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.20416017","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026338711","display_name":"Pamela Putnam","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Putnam, Pamela","raw_affiliation_strings":["Florida Atlantic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012632345","display_name":"Fernando Luiz Koch","orcid":"https://orcid.org/0000-0001-7136-3253","observed_orcids":["https://orcid.org/0000-0001-7136-3253"]},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fernando, Koch","raw_affiliation_strings":["Florida Atlantic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63772739"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37008773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9785000085830688,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9785000085830688,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.0203000009059906,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/heart-disease-prediction","display_name":"heart disease prediction","score":0.8500000238418579},{"id":"https://openalex.org/keywords/uci-heart-disease-dataset","display_name":"UCI heart disease dataset","score":0.9480000138282776},{"id":"https://openalex.org/keywords/generative-ai","display_name":"generative AI","score":0.7590000033378601},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.7620000243186951},{"id":"https://openalex.org/keywords/interpretable-decision-trees","display_name":"interpretable decision trees","score":0.8989999890327454},{"id":"https://openalex.org/keywords/feature-prioritization","display_name":"feature prioritization","score":0.7139999866485596},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9629999995231628},{"id":"https://openalex.org/keywords/clinical-interpretability","display_name":"clinical interpretability","score":0.6959999799728394}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8230000138282776},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.741100013256073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6988000273704529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6434000134468079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5753999948501587},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5710999965667725},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.40560001134872437},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39899998903274536},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38199999928474426},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C120136583","wikidata":"https://www.wikidata.org/wiki/Q4736414","display_name":"Alternating decision tree","level":5,"score":0.29429998993873596},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.2865000069141388},{"id":"https://openalex.org/C20837028","wikidata":"https://www.wikidata.org/wiki/Q623966","display_name":"Influence diagram","level":3,"score":0.2791999876499176},{"id":"https://openalex.org/C156201811","wikidata":"https://www.wikidata.org/wiki/Q5418360","display_name":"Evidential reasoning approach","level":4,"score":0.2712000012397766},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.2694000005722046},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C186116695","wikidata":"https://www.wikidata.org/wiki/Q5249226","display_name":"Decision analysis","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2621000111103058},{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.25850000977516174}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.20416017","doi":"https://doi.org/10.5281/zenodo.20416017","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.20416017","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.5281/zenodo.20416018","doi":"https://doi.org/10.5281/zenodo.20416018","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.20416018","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.5281/zenodo.20416017","doi":"https://doi.org/10.5281/zenodo.20416017","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.20416017","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"score":0.504800021648407,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[{"score":0.6676849126815796,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Heart":[0,7],"disease":[1],"prediction":[2],"studies":[3],"using":[4],"the":[5,24,32,98,145],"UCI":[6],"Disease":[8],"dataset":[9],"commonlyreport":[10],"high":[11],"classification":[12],"precision":[13],"while":[14,157],"leaving":[15],"decision":[16,79,86,179,204,207],"structure":[17],"and":[18,31,52,75,88,131,200,210],"robustnesslargely":[19],"unexamined.":[20],"This":[21],"survey":[22,99],"analyzes":[23],"literature":[25],"with":[26,100],"emphasis":[27],"on":[28],"explicitdecision":[29],"representation":[30],"stability":[33],"of":[34,49,202,215],"predictive":[35,150,216],"mechanisms.":[36],"Published":[37],"stud-ies":[38],"are":[39],"organized":[40],"into":[41],"four":[42],"analytical":[43],"dimensions:":[44],"modeling":[45],"paradigm,":[46],"decisionrepresentation,":[47],"role":[48],"generative":[50,195],"AI,":[51],"clinical":[53,121,128,165],"alignment.":[54],"Most":[55],"reported":[56],"sys-tems":[57],"implement":[58],"statistical":[59],"models,":[60],"classical":[61],"machine":[62],"learning":[63],"classifiers,":[64],"ensemblemethods,":[65],"or":[66],"deep":[67],"neural":[68],"networks":[69],"evaluated":[70],"through":[71,185],"aggregate":[72],"performance":[73],"met-rics":[74],"operating":[76],"as":[77,212],"implicit":[78],"systems.":[80,217],"Explicit":[81],"reasoning":[82],"structures,":[83],"suchas":[84],"interpretable":[85,203],"trees":[87],"robustness":[89,211],"evaluation":[90],"under":[91],"controlled":[92],"pertur-bations,":[93],"appear":[94],"infrequently.This":[95],"paper":[96],"extends":[97],"an":[101,153],"empirical":[102],"hybrid":[103],"pipeline":[104],"in":[105,114,193,198],"which":[106,194],"alarge":[107],"language":[108],"model":[109],"(Gemini":[110],"2.5":[111],"Flash)":[112],"participates":[113],"three":[115],"structural":[116],"decisions:feature":[117],"prioritization":[118],"guided":[119],"by":[120,127],"domain":[122],"knowledge,":[123],"hyperparameter":[124],"selec-tion":[125],"constrained":[126],"interpretability":[129],"requirements,":[130],"post-hoc":[132],"validationof":[133],"trained":[134],"tree":[135,147,156],"rules":[136,180],"against":[137],"established":[138],"cardiovascular":[139],"medicine.":[140],"Experimental":[141],"re-sults":[142],"demonstrate":[143],"that":[144,170,177],"LLM-guided":[146],"achieves":[148],"comparable":[149],"accu-racy":[151],"to":[152],"unconstrained":[154],"CART":[155],"producing":[158],"a":[159,191],"substantially":[160],"simpler":[161],"deci-sion":[162],"structure.":[163],"The":[164],"validation":[166,201],"experiment":[167],"further":[168],"reveals":[169],"standard":[171],"pre-processing":[172],"pipelines":[173],"introduce":[174],"threshold":[175],"opacity":[176],"renders":[178],"clin-ically":[181],"uninterpretable\u2014a":[182],"limitation":[183],"undetectable":[184],"accuracy":[186],"metrics":[187],"alone.The":[188],"analysis":[189],"defines":[190],"framework":[192],"models":[196],"participate":[197],"theconstruction":[199],"trees,":[205],"treating":[206],"struc-ture,":[208],"transparency,":[209],"measurable":[213],"properties":[214]},"counts_by_year":[],"updated_date":"2026-10-11T09:32:39.932853","created_date":"2026-05-28T00:00:00"}
