{"id":"https://openalex.org/W4385488558","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191947","title":"SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding","display_name":"SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385488558","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191947"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191947","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","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/A5100384088","display_name":"Yingjie Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingjie Liu","raw_affiliation_strings":["East China Normal University,China","East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030210439","display_name":"Xian Wei","orcid":"https://orcid.org/0000-0002-9566-7814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xian Wei","raw_affiliation_strings":["Technische Universit&#x00E4;t M&#x00FC;nchen,Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit&#x00E4;t M&#x00FC;nchen,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090171111","display_name":"See-Kiong Ng","orcid":"https://orcid.org/0000-0001-6565-7511"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"See-Kiong Ng","raw_affiliation_strings":["National University of Singapore,Singapore","National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore,Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100785386","display_name":"Tongtong Zhang","orcid":"https://orcid.org/0000-0002-4797-4860"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongtong Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University,China","Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025413633","display_name":"Mingsong Chen","orcid":"https://orcid.org/0000-0002-3922-0989"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsong Chen","raw_affiliation_strings":["East China Normal University,China","East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101602073","display_name":"Xuan Tang","orcid":"https://orcid.org/0000-0002-2041-5268"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Tang","raw_affiliation_strings":["East China Normal University,China","East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100384088"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08852246,"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":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9994999766349792,"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":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9767000079154968,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/discriminative-model","display_name":"Discriminative model","score":0.6862139701843262},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6452738046646118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6382275223731995},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5656258463859558},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5159264802932739},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5141223073005676},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4737682640552521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4632701873779297},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46185600757598877},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.45493680238723755},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42402368783950806},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4145386815071106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3389253616333008},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2285408079624176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.204362690448761},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08499029278755188}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6862139701843262},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6452738046646118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6382275223731995},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5656258463859558},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5159264802932739},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5141223073005676},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4737682640552521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4632701873779297},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46185600757598877},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.45493680238723755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42402368783950806},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4145386815071106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3389253616333008},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2285408079624176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.204362690448761},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08499029278755188},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191947","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W236448318","https://openalex.org/W1965701254","https://openalex.org/W1970932011","https://openalex.org/W1993962865","https://openalex.org/W1998396170","https://openalex.org/W2015430519","https://openalex.org/W2058046352","https://openalex.org/W2096941734","https://openalex.org/W2103972604","https://openalex.org/W2113098151","https://openalex.org/W2118550318","https://openalex.org/W2129812935","https://openalex.org/W2138265962","https://openalex.org/W2145962650","https://openalex.org/W2146617131","https://openalex.org/W2147898714","https://openalex.org/W2163112044","https://openalex.org/W2403599618","https://openalex.org/W2404901863","https://openalex.org/W2428809231","https://openalex.org/W2584780866","https://openalex.org/W2585971786","https://openalex.org/W2592665192","https://openalex.org/W2597505554","https://openalex.org/W2613482391","https://openalex.org/W2753848312","https://openalex.org/W2805893819","https://openalex.org/W2807280338","https://openalex.org/W2907519982","https://openalex.org/W2907727731","https://openalex.org/W2944367642","https://openalex.org/W2952393781","https://openalex.org/W2990186536","https://openalex.org/W2990322799","https://openalex.org/W2998530579","https://openalex.org/W3080318198","https://openalex.org/W3092301826","https://openalex.org/W3101973032","https://openalex.org/W3132670815","https://openalex.org/W3172328600","https://openalex.org/W4200216121","https://openalex.org/W4220814249","https://openalex.org/W4220997467","https://openalex.org/W4225835923","https://openalex.org/W4282913188","https://openalex.org/W4292363360","https://openalex.org/W4376528501","https://openalex.org/W6604791420","https://openalex.org/W6632083275","https://openalex.org/W6680732760","https://openalex.org/W6762262999","https://openalex.org/W6769917754"],"related_works":["https://openalex.org/W2144332008","https://openalex.org/W2349204598","https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2912814903","https://openalex.org/W2123605750","https://openalex.org/W2088740331","https://openalex.org/W3038102983","https://openalex.org/W2950907416","https://openalex.org/W1559483280"],"abstract_inverted_index":{"Patient":[0],"similarity":[1,67,106,153],"assessment":[2],"(PSA)":[3],"is":[4,54,101,122],"pivotal":[5],"to":[6,28,56,82,103,124],"evidence-based":[7],"and":[8,40,72,84,133,140],"personalized":[9],"medicine,":[10],"enabled":[11],"by":[12,68,115],"analyzing":[13],"the":[14,105,144],"increasingly":[15],"available":[16],"electronic":[17],"health":[18],"records":[19],"(EHRs).":[20],"However,":[21],"machine":[22,150],"learning":[23,50,151],"approaches":[24],"for":[25,63,87],"PSA":[26],"have":[27],"deal":[29],"with":[30],"inherent":[31],"data":[32,59],"deficiencies":[33],"of":[34,61],"EHRs,":[35],"namely":[36,138],"missing":[37,93],"values,":[38],"noise,":[39],"small":[41],"sample":[42],"sizes.":[43],"In":[44],"this":[45],"work,":[46],"an":[47],"end-to-end":[48],"discriminative":[49],"framework,":[51],"called":[52],"SparGE,":[53],"proposed":[55,145],"address":[57],"these":[58],"challenges":[60],"EHR":[62],"PSA.":[64],"SparGE":[65,146],"measures":[66],"jointly":[69],"sparse":[70,80,99],"coding":[71,81],"graph":[73,96],"embedding.":[74],"First,":[75],"we":[76],"use":[77],"low-rank":[78],"constrained":[79],"identify":[83],"calculate":[85],"weight":[86],"similar":[88],"patients,":[89],"while":[90],"denoising":[91],"against":[92],"values.":[94],"Then,":[95],"embedding":[97],"on":[98,130],"representations":[100],"adopted":[102],"measure":[104],"between":[107],"patient":[108,152],"pairs":[109],"via":[110],"preserving":[111],"local":[112],"relationships":[113],"defined":[114],"distances.":[116],"Finally,":[117],"a":[118],"global":[119],"cost":[120],"function":[121],"constructed":[123],"optimize":[125],"related":[126],"parameters.":[127],"Experimental":[128],"results":[129],"two":[131],"private":[132],"public":[134],"real-world":[135],"healthcare":[136],"datasets,":[137],"SingHEART":[139],"MIMIC-III,":[141],"show":[142],"that":[143],"significantly":[147],"outperforms":[148],"other":[149],"methods.":[154]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
