{"id":"https://openalex.org/W7124469320","doi":"https://doi.org/10.1007/s11222-025-10796-3","title":"A Support vector machine-based mixture cure model for mixed case interval censored data","display_name":"A Support vector machine-based mixture cure model for mixed case interval censored data","publication_year":2026,"publication_date":"2026-01-16","ids":{"openalex":"https://openalex.org/W7124469320","doi":"https://doi.org/10.1007/s11222-025-10796-3","pmid":"https://pubmed.ncbi.nlm.nih.gov/41552415"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-025-10796-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-025-10796-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-025-10796-3.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11222-025-10796-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054249416","display_name":"Suvra Pal","orcid":"https://orcid.org/0000-0001-9864-9489"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Suvra Pal","raw_affiliation_strings":["Department of Mathematics, University of Texas at Arlington, Arlington, Texas 76019 USA","Division of Data Science, College of Science, University of Texas at Arlington, Arlington, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Texas at Arlington, Arlington, Texas 76019 USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Division of Data Science, College of Science, University of Texas at Arlington, Arlington, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076832999","display_name":"Wisdom Aselisewine","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wisdom Aselisewine","raw_affiliation_strings":["Department of Mathematics, University of Texas at Arlington, Arlington, Texas 76019 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Texas at Arlington, Arlington, Texas 76019 USA","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054249416"],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":{"value":2090,"currency":"EUR","value_usd":2690},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08262212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"2","first_page":"63","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.7250000238418579,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.7250000238418579,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.11620000004768372,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.06920000165700912,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.6248999834060669},{"id":"https://openalex.org/keywords/interval-data","display_name":"Interval data","score":0.5584999918937683},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4424000084400177},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.3790000081062317},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.32659998536109924},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.30230000615119934}],"concepts":[{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.6248999834060669},{"id":"https://openalex.org/C2983220686","wikidata":"https://www.wikidata.org/wiki/Q951437","display_name":"Interval data","level":3,"score":0.5584999918937683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5194000005722046},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4424000084400177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41040000319480896},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38850000500679016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.385699987411499},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.3790000081062317},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3222000002861023},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28859999775886536},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27090001106262207}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11222-025-10796-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-025-10796-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-025-10796-3.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmid:41552415","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41552415","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and computing","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:12811344","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12811344/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Stat Comput","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s11222-025-10796-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-025-10796-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-025-10796-3.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5715987086296082}],"awards":[{"id":"https://openalex.org/G3323886889","display_name":null,"funder_award_id":"R15GM150091","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320311306","display_name":"University of Texas at Arlington","ror":"https://ror.org/019kgqr73"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7124469320.pdf","grobid_xml":"https://content.openalex.org/works/W7124469320.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W71042570","https://openalex.org/W1550022419","https://openalex.org/W1713367425","https://openalex.org/W1969094789","https://openalex.org/W1971721245","https://openalex.org/W1984130041","https://openalex.org/W2005532752","https://openalex.org/W2022865255","https://openalex.org/W2046242081","https://openalex.org/W2061893665","https://openalex.org/W2064207173","https://openalex.org/W2068151314","https://openalex.org/W2073289560","https://openalex.org/W2082197682","https://openalex.org/W2084696120","https://openalex.org/W2102590972","https://openalex.org/W2117190680","https://openalex.org/W2119821739","https://openalex.org/W2121493622","https://openalex.org/W2153044238","https://openalex.org/W2166379450","https://openalex.org/W2253220940","https://openalex.org/W2342122457","https://openalex.org/W2345533081","https://openalex.org/W2724536226","https://openalex.org/W2769370110","https://openalex.org/W2903337347","https://openalex.org/W2969810107","https://openalex.org/W2989153917","https://openalex.org/W3086002536","https://openalex.org/W3130635571","https://openalex.org/W3135680275","https://openalex.org/W3148960596","https://openalex.org/W3198667699","https://openalex.org/W4220750261","https://openalex.org/W4293644130","https://openalex.org/W4362602994","https://openalex.org/W4384406223","https://openalex.org/W4385330483","https://openalex.org/W4386512977","https://openalex.org/W4386726096","https://openalex.org/W4388498740","https://openalex.org/W4391884099","https://openalex.org/W4393156352","https://openalex.org/W4399999137","https://openalex.org/W4402055148","https://openalex.org/W4403683540","https://openalex.org/W4411523815"],"related_works":[],"abstract_inverted_index":{"representing":[0],"an":[1,119],"integer.":[2],"Furthermore,":[3],"there":[4],"is":[5,68,91],"a":[6,39,71,97,109],"proportion":[7],"of":[8,21,28,48,56,64,81,87,108,130],"subjects":[9],"who":[10],"would":[11],"never":[12],"be":[13],"susceptible":[14],"to":[15,76,101],"the":[16,22,26,33,57,61,65,78,85,92,106,114,128,131,144],"event.":[17],"The":[18,53,149],"first":[19,93],"component":[20,55],"proposed":[23,58,132,145],"model":[24,37,59,115],"describes":[25,60],"probability":[27],"cure,":[29],"and":[30,67],"it":[31],"replaces":[32],"traditional":[34],"generalized":[35],"linear":[36],"with":[38],"more":[40],"flexible":[41],"support":[42],"vector":[43],"machine":[44,98],"(SVM)-based":[45],"approach":[46],"capable":[47],"capturing":[49],"complex":[50],"covariate":[51,82],"effects.":[52,83],"second":[54],"survival":[62],"distribution":[63],"uncured":[66],"modeled":[69],"using":[70,143],"Cox":[72],"proportional":[73],"hazards":[74],"structure":[75],"preserve":[77],"easy":[79],"interpretation":[80],"To":[84,112],"best":[86],"our":[88],"knowledge,":[89],"this":[90],"work":[94],"that":[95],"employs":[96],"learning":[99],"algorithm":[100],"analyze":[102,137],"MCIC":[103],"data":[104],"in":[105],"presence":[107],"cured":[110],"subgroup.":[111],"estimate":[113],"parameters,":[116],"we":[117,136],"develop":[118],"expectation":[120],"maximization":[121],"algorithm.":[122],"A":[123],"detailed":[124],"simulation":[125],"study":[126],"demonstrates":[127],"superiority":[129],"SVM-based":[133],"model.":[134],"Finally,":[135],"NASA's":[138],"Hypobaric":[139],"Decompression":[140],"Sickness":[141],"Data":[142],"approach.":[146],"Supplementary":[147],"Information:":[148],"online":[150],"version":[151],"contains":[152],"supplementary":[153],"material":[154],"available":[155],"at":[156],"10.1007/s11222-025-10796-3.":[157]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-01-17T00:00:00"}