{"id":"https://openalex.org/W2609548643","doi":"https://doi.org/10.1109/icpr.2016.7900148","title":"Stable clinical prediction using graph support vector machines","display_name":"Stable clinical prediction using graph support vector machines","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2609548643","doi":"https://doi.org/10.1109/icpr.2016.7900148","mag":"2609548643"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Stable_clinical_prediction_using_graph_support_vector_machines/20850673","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039788966","display_name":"Iman Kamkar","orcid":"https://orcid.org/0000-0002-8291-2593"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Iman Kamkar","raw_affiliation_strings":["Centre for Pattern Recognition and Data Analytics, Deakin University, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Pattern Recognition and Data Analytics, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101472308","display_name":"Sunil Gupta","orcid":"https://orcid.org/0000-0002-3308-1930"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sunil Gupta","raw_affiliation_strings":["Centre for Pattern Recognition and Data Analytics, Deakin University, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Pattern Recognition and Data Analytics, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354230","display_name":"Cheng Li","orcid":"https://orcid.org/0000-0001-8140-2826"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Cheng Li","raw_affiliation_strings":["Centre for Pattern Recognition and Data Analytics, Deakin University, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Pattern Recognition and Data Analytics, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036447132","display_name":"Dinh Phung","orcid":"https://orcid.org/0000-0002-9977-8247"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dinh Phung","raw_affiliation_strings":["Centre for Pattern Recognition and Data Analytics, Deakin University, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Pattern Recognition and Data Analytics, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045540854","display_name":"Svetha Venkatesh","orcid":"https://orcid.org/0000-0001-8675-6631"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Svetha Venkatesh","raw_affiliation_strings":["Centre for Pattern Recognition and Data Analytics, Deakin University, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Pattern Recognition and Data Analytics, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039788966"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13174332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"3332","last_page":"3337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9983000159263611,"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":0.9983000159263611,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9865000247955322,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9814000129699707,"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/jaccard-index","display_name":"Jaccard index","score":0.9287370443344116},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6768831610679626},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5881364345550537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5512887835502625},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5384469032287598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45959481596946716},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4583740234375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4471304416656494},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4300973415374756},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4209808111190796},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.41777336597442627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32865357398986816},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17419204115867615}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.9287370443344116},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6768831610679626},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5881364345550537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5512887835502625},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5384469032287598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45959481596946716},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4583740234375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4471304416656494},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4300973415374756},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4209808111190796},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.41777336597442627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32865357398986816},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17419204115867615},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2016.7900148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30098065","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20850673","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Stable_clinical_prediction_using_graph_support_vector_machines/20850673","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20850673","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Stable_clinical_prediction_using_graph_support_vector_machines/20850673","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320970","display_name":"Deakin University","ror":"https://ror.org/02czsnj07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W122104208","https://openalex.org/W144440563","https://openalex.org/W1635526310","https://openalex.org/W1984024477","https://openalex.org/W1995515386","https://openalex.org/W2004910511","https://openalex.org/W2012653948","https://openalex.org/W2013121895","https://openalex.org/W2023313804","https://openalex.org/W2032909675","https://openalex.org/W2058532290","https://openalex.org/W2122825543","https://openalex.org/W2128476487","https://openalex.org/W2130698119","https://openalex.org/W2130949063","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2140514146","https://openalex.org/W2150940164","https://openalex.org/W2160450758","https://openalex.org/W2287985126","https://openalex.org/W2997644599","https://openalex.org/W4285719527","https://openalex.org/W4292363360","https://openalex.org/W6604963269","https://openalex.org/W6605866200","https://openalex.org/W6636627454","https://openalex.org/W6653643181","https://openalex.org/W6679676526","https://openalex.org/W6682241100","https://openalex.org/W6696581697","https://openalex.org/W7034108470"],"related_works":["https://openalex.org/W1994775821","https://openalex.org/W2012019886","https://openalex.org/W2091133150","https://openalex.org/W2945869148","https://openalex.org/W2611195251","https://openalex.org/W2398781203","https://openalex.org/W2009279505","https://openalex.org/W4206503171","https://openalex.org/W4366711670","https://openalex.org/W2972216353"],"abstract_inverted_index":{"The":[0,52],"stability":[1,131],"matters":[2],"in":[3,82,127,152],"clinical":[4],"prediction":[5],"models":[6,27],"because":[7],"it":[8],"makes":[9],"the":[10,48,58,71,83,87,95,120,158],"model":[11],"to":[12,37,69,93,157],"be":[13],"interpretable":[14],"and":[15,105,124,141],"generalizable.":[16],"It":[17],"is":[18,55,116],"paramount":[19],"for":[20],"high":[21],"dimensional":[22],"data,":[23],"which":[24],"employ":[25],"sparse":[26,39],"with":[28],"feature":[29,80,122],"selection":[30,123],"ability.":[31],"We":[32,85,110,144],"propose":[33],"a":[34,66,103],"new":[35],"method":[36,64,90,115,149],"stabilize":[38],"support":[40],"vector":[41],"machines":[42],"using":[43,57],"intrinsic":[44],"graph":[45,53],"structure":[46,54],"of":[47,78,91,129],"electronic":[49],"medical":[50],"records.":[51],"exploited":[56],"Jaccard":[59,134],"similarity":[60,135],"among":[61],"features.":[62],"Our":[63,98],"employs":[65],"convex":[67],"function":[68],"penalize":[70],"pairwise":[72],"l":[73],"<inf":[74],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[75],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u221e</inf>":[76],"-norm":[77],"connected":[79],"coefficients":[81],"graph.":[84],"apply":[86],"alternating":[88],"direction":[89],"multipliers":[92],"solve":[94],"proposed":[96,114],"formulation.":[97],"experiments":[99],"are":[100],"conducted":[101],"on":[102],"synthetic":[104],"three":[106,130],"real-world":[107],"hospital":[108],"datasets.":[109],"show":[111,146],"that":[112,147],"our":[113,148],"more":[117],"stable":[118],"than":[119],"state-of-the-art":[121],"classification":[125,154],"techniques":[126],"terms":[128],"measures":[132],"namely,":[133],"measure,":[136],"Spearman's":[137],"rank":[138],"correlation":[139],"coefficient":[140],"Kuncheva":[142],"index.":[143],"further":[145],"has":[150],"resulted":[151],"better":[153],"performance":[155],"compared":[156],"baselines.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
