{"id":"https://openalex.org/W4404915332","doi":"https://doi.org/10.1109/scisisis61014.2024.10760074","title":"ESWL Outcome Prediction with SMOTE and Stratified Sampling","display_name":"ESWL Outcome Prediction with SMOTE and Stratified Sampling","publication_year":2024,"publication_date":"2024-11-09","ids":{"openalex":"https://openalex.org/W4404915332","doi":"https://doi.org/10.1109/scisisis61014.2024.10760074"},"language":"en","primary_location":{"id":"doi:10.1109/scisisis61014.2024.10760074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis61014.2024.10760074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&amp;amp;ISIS)","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/A5112727264","display_name":"S. Kobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Soya Kobayashi","raw_affiliation_strings":["Graduate School of Engineering, University of Hyogo,Hyogo,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo,Hyogo,Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101617378","display_name":"Daisuke Fujita","orcid":"https://orcid.org/0000-0002-0157-145X"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Fujita","raw_affiliation_strings":["Graduate School of Engineering, University of Hyogo,Hyogo,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo,Hyogo,Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040842379","display_name":"Hironobu Shibutani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126247","display_name":"Nishikawa Hospital","ror":"https://ror.org/032qsa580","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210126247"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hironobu Shibutani","raw_affiliation_strings":["Urology, Ishikawa Hospital,Hyogo,Japan"],"affiliations":[{"raw_affiliation_string":"Urology, Ishikawa Hospital,Hyogo,Japan","institution_ids":["https://openalex.org/I4210126247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114957192","display_name":"Shinsuke Gohara","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126247","display_name":"Nishikawa Hospital","ror":"https://ror.org/032qsa580","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210126247"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinsuke Gohara","raw_affiliation_strings":["Urology, Ishikawa Hospital,Hyogo,Japan"],"affiliations":[{"raw_affiliation_string":"Urology, Ishikawa Hospital,Hyogo,Japan","institution_ids":["https://openalex.org/I4210126247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042142624","display_name":"Syoji Kobashi","orcid":"https://orcid.org/0000-0003-3659-4114"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Syoji Kobashi","raw_affiliation_strings":["Graduate School of Engineering, University of Hyogo,Hyogo,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo,Hyogo,Japan","institution_ids":["https://openalex.org/I180941496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112727264"],"corresponding_institution_ids":["https://openalex.org/I180941496"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22009165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.12770000100135803,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.12770000100135803,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.11649999767541885,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.11620000004768372,"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/stratified-sampling","display_name":"Stratified sampling","score":0.6616191267967224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.632043719291687},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.545016348361969},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4709010422229767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45970070362091064},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2227209508419037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17766383290290833},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16744720935821533}],"concepts":[{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.6616191267967224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.632043719291687},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.545016348361969},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4709010422229767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45970070362091064},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2227209508419037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17766383290290833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16744720935821533},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scisisis61014.2024.10760074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis61014.2024.10760074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&amp;amp;ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4399999976158142,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2883667583","https://openalex.org/W4230391972"],"related_works":["https://openalex.org/W2387471420","https://openalex.org/W3042964584","https://openalex.org/W2356880469","https://openalex.org/W2383809451","https://openalex.org/W4206840145","https://openalex.org/W2370014976","https://openalex.org/W2350399852","https://openalex.org/W2378407977","https://openalex.org/W3047864323","https://openalex.org/W2075598034"],"abstract_inverted_index":{"In":[0,78],"recent":[1],"years,":[2],"extracorporeal":[3],"shock":[4],"wave":[5],"lithotripsy":[6,10],"(ESWL)":[7],"and":[8,27,60,92,117],"transurethral":[9],"(TUL)":[11],"have":[12],"become":[13],"the":[14,44,58,67,73,86,100,103],"primary":[15],"treatments":[16],"for":[17,75],"ureteral":[18],"stones.":[19],"ESWL":[20,107],"is":[21,37,51],"less":[22],"physically":[23],"burdensome":[24],"than":[25],"TUL":[26],"requires":[28],"a":[29,110],"shorter":[30],"treatment":[31,46],"period,":[32],"but":[33],"its":[34],"success":[35],"rate":[36],"lower":[38],"compared":[39],"to":[40,56,98],"TUL.":[41],"Therefore,":[42],"selecting":[43],"appropriate":[45],"method":[47],"in":[48,89],"clinical":[49],"practice":[50],"essential.":[52],"This":[53],"study":[54],"aims":[55],"reduce":[57],"physical":[59],"financial":[61],"burden":[62],"on":[63,85,102],"patients":[64],"by":[65,96],"predicting":[66],"outcomes":[68],"of":[69,106],"ESWL,":[70],"thereby":[71],"minimizing":[72],"need":[74],"dual":[76],"treatments.":[77],"this":[79],"study,":[80],"stratified":[81,115],"sampling":[82,116],"was":[83],"performed":[84],"features":[87],"examined":[88],"previous":[90],"studies":[91],"combined":[93],"with":[94],"oversampling":[95],"SMOTE":[97,118],"assess":[99],"impact":[101],"prediction":[104,120],"accuracy":[105],"outcomes.":[108],"As":[109],"result,":[111],"we":[112],"confirmed":[113],"that":[114],"improved":[119],"accuracy.":[121]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
