{"id":"https://openalex.org/W7125600587","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340444","title":"Adopting Post-Hoc Explainable Reinforcement Learning in Healthcare Scenarios","display_name":"Adopting Post-Hoc Explainable Reinforcement Learning in Healthcare Scenarios","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W7125600587","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340444"},"language":null,"primary_location":{"id":"doi:10.1109/metroxraine66377.2025.11340444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340444","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 Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5042443902","display_name":"Daniele Melloni","orcid":"https://orcid.org/0009-0001-3322-7637"},"institutions":[{"id":"https://openalex.org/I138938424","display_name":"Universit\u00e0 degli Studi della Tuscia","ror":"https://ror.org/03svwq685","country_code":"IT","type":"education","lineage":["https://openalex.org/I138938424"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Melloni","raw_affiliation_strings":["Society and Business Organization University of Tuscia,Dept. of of Economics, Engineering,Viterbo,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Society and Business Organization University of Tuscia,Dept. of of Economics, Engineering,Viterbo,Italy","institution_ids":["https://openalex.org/I138938424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020820275","display_name":"Andrea Zingoni","orcid":"https://orcid.org/0000-0002-0478-8937"},"institutions":[{"id":"https://openalex.org/I138938424","display_name":"Universit\u00e0 degli Studi della Tuscia","ror":"https://ror.org/03svwq685","country_code":"IT","type":"education","lineage":["https://openalex.org/I138938424"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Zingoni","raw_affiliation_strings":["Society and Business Organization University of Tuscia,Dept. of of Economics, Engineering,Viterbo,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Society and Business Organization University of Tuscia,Dept. of of Economics, Engineering,Viterbo,Italy","institution_ids":["https://openalex.org/I138938424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138938424"],"apc_list":null,"apc_paid":null,"fwci":1.673,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8915543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"536","last_page":"541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.14980000257492065,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.14980000257492065,"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":0.0917000025510788,"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":0.05380000174045563,"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/transparency","display_name":"Transparency (behavior)","score":0.734499990940094},{"id":"https://openalex.org/keywords/accountability","display_name":"Accountability","score":0.6342999935150146},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5898000001907349},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.5784000158309937},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5526000261306763},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5397999882698059}],"concepts":[{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.734499990940094},{"id":"https://openalex.org/C2776007630","wikidata":"https://www.wikidata.org/wiki/Q2798912","display_name":"Accountability","level":2,"score":0.6342999935150146},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5898000001907349},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.5784000158309937},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5526000261306763},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5397999882698059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.535099983215332},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.453000009059906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44600000977516174},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4180999994277954},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3513000011444092},{"id":"https://openalex.org/C2988170871","wikidata":"https://www.wikidata.org/wiki/Q11000047","display_name":"Healthcare system","level":3,"score":0.3361000120639801},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C3019806175","wikidata":"https://www.wikidata.org/wiki/Q11974939","display_name":"Health professionals","level":3,"score":0.30469998717308044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30230000615119934},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.29280000925064087},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroxraine66377.2025.11340444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340444","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 Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5056778788566589}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2129995532","https://openalex.org/W2145339207","https://openalex.org/W2963395533","https://openalex.org/W2972122474","https://openalex.org/W2998004401","https://openalex.org/W3008110675","https://openalex.org/W3200401644","https://openalex.org/W4210838581","https://openalex.org/W4224220194","https://openalex.org/W4255453189","https://openalex.org/W4386193536","https://openalex.org/W4387435718","https://openalex.org/W4388736777","https://openalex.org/W4405236212","https://openalex.org/W4405756416","https://openalex.org/W4406484022"],"related_works":[],"abstract_inverted_index":{"As":[0],"artificial":[1],"intelligence":[2],"systems":[3],"become":[4],"predominant":[5],"in":[6,30,56,65,88,92,115],"multiple":[7],"applications,":[8],"the":[9,31,43,48,57,61,72,95,125],"transparency":[10,55],"and":[11,69,77],"trustworthiness":[12],"of":[13,25,34,60,71,121,127],"models":[14],"are":[15,51],"not":[16],"prioritized":[17],"enough.":[18],"In":[19,80,105],"this":[20,85],"work,":[21],"a":[22,89],"novel":[23],"application":[24],"Markov":[26,49,113],"networks":[27,50,114],"is":[28,120],"explored":[29],"healthcare":[32,119],"sce-nario":[33],"Type":[35],"1":[36],"Diabetes":[37],"Mellitus":[38],"(TIDM)":[39],"management.":[40],"Attached":[41],"to":[42,53,100],"Deep":[44],"Q-Network":[45],"(DQN)":[46],"agent,":[47],"able":[52],"increase":[54,91],"inner":[58],"mechanics":[59],"system.":[62],"This":[63],"results":[64],"an":[66],"improved":[67],"trust":[68,93],"accountability":[70],"algorithm,":[73],"enhancing":[74],"human-AI":[75],"collaboration":[76],"decision":[78],"support.":[79],"particular,":[81],"explanations":[82],"generated":[83],"by":[84],"method":[86],"resulted":[87],"28%":[90],"towards":[94],"closed-loop":[96],"system":[97],"when":[98],"presented":[99],"41":[101],"real":[102],"TIDM":[103],"patients.":[104],"conclusion,":[106],"using":[107],"post-hoc":[108],"explainability":[109],"methods":[110],"such":[111,117],"as":[112,118],"applications":[116],"paramount":[122],"importance":[123],"for":[124],"adoption":[126],"safety-critical":[128],"agents.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-25T00:00:00"}
