{"id":"https://openalex.org/W2553491325","doi":"https://doi.org/10.23919/acc.2017.7963268","title":"A neural network model to classify liver cancer patients using data expansion and compression","display_name":"A neural network model to classify liver cancer patients using data expansion and compression","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2553491325","doi":"https://doi.org/10.23919/acc.2017.7963268","mag":"2553491325"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2017.7963268","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","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/A5087573546","display_name":"Ashkan Zeinalzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ashkan Zeinalzadeh","raw_affiliation_strings":["Department of Electrical Engineering, University of Notre Dame, IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079340308","display_name":"Tom Wenska","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127473","display_name":"Cancer Research Center","ror":"https://ror.org/03fbwjm33","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210127473"]},{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tom Wenska","raw_affiliation_strings":["Cancer Research Center, University of Hawaii at Manoa, HI, USA"],"affiliations":[{"raw_affiliation_string":"Cancer Research Center, University of Hawaii at Manoa, HI, USA","institution_ids":["https://openalex.org/I117965899","https://openalex.org/I4210127473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039761264","display_name":"Gordon Okimoto","orcid":"https://orcid.org/0000-0003-4669-0396"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]},{"id":"https://openalex.org/I4210127473","display_name":"Cancer Research Center","ror":"https://ror.org/03fbwjm33","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210127473"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gordon Okimoto","raw_affiliation_strings":["Cancer Research Center, University of Hawaii at Manoa, HI, USA"],"affiliations":[{"raw_affiliation_string":"Cancer Research Center, University of Hawaii at Manoa, HI, USA","institution_ids":["https://openalex.org/I117965899","https://openalex.org/I4210127473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087573546"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.00217377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2135","last_page":"2139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9958999752998352,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9941999912261963,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9818000197410583,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7238237261772156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6534563302993774},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6513282060623169},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5557366609573364},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.49168187379837036},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48824694752693176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48625051975250244},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4602997899055481},{"id":"https://openalex.org/keywords/orthonormal-basis","display_name":"Orthonormal basis","score":0.4473789632320404},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4128338694572449}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7238237261772156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6534563302993774},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6513282060623169},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5557366609573364},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.49168187379837036},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48824694752693176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48625051975250244},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4602997899055481},{"id":"https://openalex.org/C5806529","wikidata":"https://www.wikidata.org/wiki/Q2365325","display_name":"Orthonormal basis","level":2,"score":0.4473789632320404},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4128338694572449},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2017.7963268","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","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":12,"referenced_works":["https://openalex.org/W129457532","https://openalex.org/W2023639956","https://openalex.org/W2118978333","https://openalex.org/W2136903812","https://openalex.org/W2147594372","https://openalex.org/W2292697747","https://openalex.org/W2315137206","https://openalex.org/W2478274063","https://openalex.org/W4232835396","https://openalex.org/W4293241248","https://openalex.org/W6605134655","https://openalex.org/W6682039661"],"related_works":["https://openalex.org/W2370850565","https://openalex.org/W2381894435","https://openalex.org/W2953077623","https://openalex.org/W1975945902","https://openalex.org/W4289548707","https://openalex.org/W2392110000","https://openalex.org/W2168986779","https://openalex.org/W2892093392","https://openalex.org/W2899759930","https://openalex.org/W2077021924"],"abstract_inverted_index":{"We":[0,34,44,52,95],"develop":[1],"a":[2,22,62,75,102,114],"neural":[3,31,41,76,103,107,164],"network":[4,32,42,77,104,108,165],"model":[5,78,109],"to":[6,25,73,82,100,112,161],"classify":[7,26,83,113],"liver":[8],"cancer":[9,84],"patients":[10,85],"into":[11,86],"high-risk":[12,91],"and":[13,92,147,154],"low-risk":[14,93],"groups":[15],"using":[16,30,49,116,151],"genomic":[17,117,132],"data.":[18],"Our":[19],"approach":[20,99],"provides":[21],"novel":[23],"technique":[24],"big":[27],"data":[28,37,48,70,118,133,150],"sets":[29],"models.":[33,43],"preprocess":[35],"the":[36,40,47,55,69,97,123,127,145,163],"before":[38],"training":[39],"first":[45],"expand":[46],"wavelet":[50,56,152],"analysis.":[51,140],"then":[53],"compress":[54],"coefficients":[57],"by":[58],"mapping":[59],"them":[60],"onto":[61],"new":[63],"scaled":[64],"orthonormal":[65],"coordinate":[66],"system.":[67],"Then":[68],"is":[71,142,159],"used":[72],"train":[74,162],"that":[79,144],"enables":[80,110],"us":[81,111],"two":[87],"different":[88],"classes":[89],"of":[90,126,149],"patients.":[94],"use":[96],"leave-one-out":[98],"build":[101],"model.":[105,166],"This":[106],"patient":[115],"without":[119],"any":[120],"information":[121],"about":[122],"survival":[124,138],"time":[125,139],"patient.":[128],"The":[129],"results":[130],"from":[131],"analysis":[134,153],"are":[135],"compared":[136],"with":[137],"It":[141],"shown":[143],"expansion":[146],"compression":[148],"singular":[155],"value":[156],"decomposition":[157],"(SVD)":[158],"essential":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}