{"id":"https://openalex.org/W2775895855","doi":"https://doi.org/10.1155/2017/7120691","title":"Sparse Learning of the Disease Severity Score for High-Dimensional Data","display_name":"Sparse Learning of the Disease Severity Score for High-Dimensional Data","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2775895855","doi":"https://doi.org/10.1155/2017/7120691","mag":"2775895855"},"language":"en","primary_location":{"id":"doi:10.1155/2017/7120691","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/7120691","pdf_url":"http://downloads.hindawi.com/journals/complexity/2017/7120691.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/complexity/2017/7120691.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027206529","display_name":"Ivan Stojkovi\u0107","orcid":"https://orcid.org/0000-0002-5957-7395"},"institutions":[{"id":"https://openalex.org/I4068193","display_name":"University of Belgrade","ror":"https://ror.org/02qsmb048","country_code":"RS","type":"education","lineage":["https://openalex.org/I4068193"]},{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["RS","US"],"is_corresponding":false,"raw_author_name":"Ivan Stojkovic","raw_affiliation_strings":["Center for Data Analytics and Biomedical Informatics, College of Science and Technology, Temple University, 1925 North 12th Street, Philadelphia, PA 19122, USA","Signals and Systems Department, School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11120 Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"Center for Data Analytics and Biomedical Informatics, College of Science and Technology, Temple University, 1925 North 12th Street, Philadelphia, PA 19122, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Signals and Systems Department, School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11120 Belgrade, Serbia","institution_ids":["https://openalex.org/I4068193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044038055","display_name":"Zoran Obradovi\u0107","orcid":"https://orcid.org/0000-0002-2051-0142"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zoran Obradovic","raw_affiliation_strings":["Center for Data Analytics and Biomedical Informatics, College of Science and Technology, Temple University, 1925 North 12th Street, Philadelphia, PA 19122, USA"],"affiliations":[{"raw_affiliation_string":"Center for Data Analytics and Biomedical Informatics, College of Science and Technology, Temple University, 1925 North 12th Street, Philadelphia, PA 19122, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044038055"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.3454,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65586217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2017","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10167","display_name":"Influenza Virus Research Studies","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10167","display_name":"Influenza Virus Research Studies","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9815999865531921,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9800999760627747,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6901193261146545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6652814149856567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6632044911384583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6006514430046082},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5722160339355469},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34137192368507385}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6901193261146545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6652814149856567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6632044911384583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006514430046082},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5722160339355469},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34137192368507385},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1155/2017/7120691","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/7120691","pdf_url":"http://downloads.hindawi.com/journals/complexity/2017/7120691.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:7120691","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2017/7120691.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:e3fa7731454d494c83f6ab5572ee0abf","is_oa":true,"landing_page_url":"https://doaj.org/article/e3fa7731454d494c83f6ab5572ee0abf","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2017 (2017)","raw_type":"article"},{"id":"pmh:oai:scholarshare.temple.edu:20.500.12613/8775","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.12613/8775","pdf_url":null,"source":{"id":"https://openalex.org/S4306402624","display_name":"TUScholarShare (Temple University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I84392919","host_organization_name":"Temple University","host_organization_lineage":["https://openalex.org/I84392919"],"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":"Journal article"}],"best_oa_location":{"id":"doi:10.1155/2017/7120691","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/7120691","pdf_url":"http://downloads.hindawi.com/journals/complexity/2017/7120691.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3772126585","display_name":null,"funder_award_id":"W911NF-16-C-0050","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G5524522455","display_name":null,"funder_award_id":"DARPA","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G6158188894","display_name":null,"funder_award_id":"66001-11-1-4183","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8998121839","display_name":null,"funder_award_id":"911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2775895855.pdf","grobid_xml":"https://content.openalex.org/works/W2775895855.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W91108901","https://openalex.org/W985756785","https://openalex.org/W1882957122","https://openalex.org/W1997453445","https://openalex.org/W2023822106","https://openalex.org/W2038894244","https://openalex.org/W2048987737","https://openalex.org/W2071637551","https://openalex.org/W2118872355","https://openalex.org/W2119387367","https://openalex.org/W2119862467","https://openalex.org/W2122825543","https://openalex.org/W2145686583","https://openalex.org/W2153491803","https://openalex.org/W2163883927","https://openalex.org/W2223549218","https://openalex.org/W3144526075","https://openalex.org/W4206494546","https://openalex.org/W4247571494","https://openalex.org/W4293242440"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Learning":[0,86],"disease":[1],"severity":[2,88],"scores":[3],"automatically":[4],"from":[5,35],"collected":[6],"measurements":[7],"may":[8],"aid":[9],"in":[10,21,44,90,121,125,197],"the":[11,41,54,63,73,76,79,87,94,126,129],"quality":[12],"of":[13,49,57,62,75,81,96,98,113,128,187],"both":[14,45,173],"healthcare":[15],"and":[16,27,47,52,123,155,169,177],"scientific":[17],"understanding.":[18],"Some":[19],"steps":[20],"that":[22,140],"direction":[23,74],"have":[24,37,104],"been":[25,38],"taken":[26],"machine":[28],"learning":[29,66,176],"algorithms":[30],"for":[31,65,172],"extracting":[32],"scoring":[33,131,174],"functions":[34],"data":[36,50],"proposed.":[39],"Given":[40],"rapid":[42],"increase":[43],"quantity":[46],"diversity":[48],"measured":[51,82,99],"stored,":[53],"large":[55],"amount":[56],"information":[58],"is":[59,84,145,153],"becoming":[60],"one":[61],"challenges":[64],"algorithms.":[67],"In":[68],"this":[69],"work,":[70],"we":[71],"investigated":[72],"problem":[77,144],"where":[78],"dimensionality":[80],"variables":[83],"large.":[85],"score":[89],"such":[91],"cases":[92],"brings":[93],"issue":[95],"which":[97,116,152,194],"features":[100],"are":[101,195],"relevant.":[102],"We":[103],"proposed":[105,134,161],"a":[106,137,149,184],"novel":[107],"approach":[108,162],"by":[109,147,182],"combining":[110],"desirable":[111],"properties":[112],"existing":[114],"formulations,":[115],"compares":[117],"favorably":[118],"to":[119,190],"alternatives":[120],"accuracy":[122],"especially":[124],"robustness":[127],"learned":[130],"function.":[132],"The":[133,160],"formulation":[135,151],"has":[136],"nonsmooth":[138],"penalty":[139],"induces":[141],"sparsity.":[142],"This":[143],"solved":[146],"addressing":[148],"dual":[150],"smooth":[154],"allows":[156],"an":[157,167],"efficient":[158],"optimization.":[159],"might":[163],"be":[164],"used":[165],"as":[166,180],"effective":[168],"reliable":[170],"tool":[171],"function":[175],"biomarker":[178],"discovery,":[179],"demonstrated":[181],"identifying":[183],"stable":[185],"set":[186],"genes":[188],"related":[189],"influenza":[191],"symptoms\u2019":[192],"severity,":[193],"enriched":[196],"immune-related":[198],"processes.":[199]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
