{"id":"https://openalex.org/W4414359626","doi":"https://doi.org/10.24963/ijcai.2025/1052","title":"SSPNet: Leveraging Robust Medication Recommendation with History and Knowledge","display_name":"SSPNet: Leveraging Robust Medication Recommendation with History and Knowledge","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359626","doi":"https://doi.org/10.24963/ijcai.2025/1052"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/1052","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5059498267","display_name":"Haodi Zhang","orcid":"https://orcid.org/0000-0001-8470-7246"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haodi Zhang","raw_affiliation_strings":["College of Computer and Software Engineering, Shenzhen University, Shenzhen, China","Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064161051","display_name":"Jiawei Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Wen","raw_affiliation_strings":["College of Computer and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658802","display_name":"Jiahong Li","orcid":"https://orcid.org/0009-0003-6844-808X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahong Li","raw_affiliation_strings":["College of Computer and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077688051","display_name":"Yuanfeng Song","orcid":"https://orcid.org/0000-0003-2221-9807"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I4210093114","display_name":"Shenzhen Weiguang Biological Products (China)","ror":"https://ror.org/00hdm6c37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093114"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yuanfeng Song","raw_affiliation_strings":["AI Group, WeBank Co., Ltd, Shenzhen","Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Group, WeBank Co., Ltd, Shenzhen","institution_ids":["https://openalex.org/I4210093114"]},{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068728111","display_name":"Liang\u2010Jie Zhang","orcid":"https://orcid.org/0000-0002-6219-0853"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang-Jie Zhang","raw_affiliation_strings":["College of Computer and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009663884","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0003-1194-1642"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["School of Environment Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Environment Nanjing University","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059498267"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12193515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9465","last_page":"9473"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9957000017166138,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9957000017166138,"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/T10028","display_name":"Topic Modeling","score":0.9606999754905701,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.942799985408783,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.621999979019165},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5383999943733215},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49300000071525574},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4839000105857849},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.44679999351501465},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.4422000050544739},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.4122999906539917},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4090000092983246},{"id":"https://openalex.org/keywords/record-linkage","display_name":"Record linkage","score":0.3986999988555908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7497000098228455},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.621999979019165},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5383999943733215},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49300000071525574},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4839000105857849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4713999927043915},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.44679999351501465},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.4422000050544739},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.4122999906539917},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4090000092983246},{"id":"https://openalex.org/C142210648","wikidata":"https://www.wikidata.org/wiki/Q1266546","display_name":"Record linkage","level":3,"score":0.3986999988555908},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.39809998869895935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37959998846054077},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.35830000042915344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34459999203681946},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.31290000677108765},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3075000047683716},{"id":"https://openalex.org/C32220436","wikidata":"https://www.wikidata.org/wiki/Q2072214","display_name":"Personalized medicine","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.29809999465942383},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C3017977704","wikidata":"https://www.wikidata.org/wiki/Q18745135","display_name":"Health data","level":3,"score":0.27410000562667847},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.2728999853134155},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C2779363104","wikidata":"https://www.wikidata.org/wiki/Q17069079","display_name":"mHealth","level":3,"score":0.2578999996185303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/1052","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Automated":[0],"medication":[1,87,116,158],"recommendation":[2],"is":[3],"a":[4,72,91,99,110,119,125],"crucial":[5],"task":[6],"within":[7],"the":[8,28,49,57,67,104,114,132,155],"domain":[9],"of":[10,32,53,157],"artificial":[11],"intelligence":[12],"in":[13,154],"healthcare,":[14],"where":[15],"recommender":[16],"systems":[17],"are":[18],"supposed":[19],"to":[20,27,59,77,94,130],"deliver":[21],"precise,":[22],"personalized":[23,127],"drug":[24],"combinations":[25],"tailored":[26],"evolving":[29],"health":[30,101,106],"states":[31],"patients.":[33,138],"Existing":[34],"approaches":[35],"often":[36],"treat":[37],"clinical":[38,63,80],"records":[39,107],"(e.g.,":[40],"diagnoses,":[41],"procedures)":[42],"as":[43,118],"isolated":[44],"or":[45],"unified":[46],"entities,":[47],"neglecting":[48],"inherent":[50],"set-structured":[51],"nature":[52],"medical":[54],"data":[55,145],"and":[56,83,97,143],"need":[58],"model":[60],"interdependencies":[61],"among":[62],"elements.":[64],"To":[65],"address":[66],"gap,":[68],"we":[69,123],"propose":[70],"SSPNet,":[71],"novel":[73,126],"end-to-end":[74],"framework":[75],"designed":[76],"process":[78],"complete":[79],"record":[81],"sets":[82,146],"directly":[84],"generate":[85],"optimal":[86],"sets.":[88],"SSPNet":[89,149],"employs":[90],"set-based":[92],"encoder":[93],"effectively":[95],"capture":[96,131],"represent":[98],"patient's":[100],"condition":[102],"from":[103],"electronic":[105],"(EHRs),":[108],"while":[109],"permutation-consistent":[111],"decoder":[112],"predicts":[113],"entire":[115],"combination":[117],"set.":[120],"In":[121],"addition,":[122],"introduce":[124],"representation":[128],"mechanism":[129],"drugs":[133],"previously":[134],"used":[135],"by":[136],"individual":[137],"Extensive":[139],"experiments":[140],"on":[141],"MIMIC-\u2162":[142],"MIMIC-\u2163":[144],"reveal":[147],"that":[148],"surpasses":[150],"existing":[151],"state-of-the-art":[152],"methods":[153],"accuracy":[156],"recommendations.":[159]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
