{"id":"https://openalex.org/W4316813693","doi":"https://doi.org/10.1145/3580218","title":"Cancer Prognosis and Diagnosis Methods Based on Ensemble Learning","display_name":"Cancer Prognosis and Diagnosis Methods Based on Ensemble Learning","publication_year":2023,"publication_date":"2023-01-17","ids":{"openalex":"https://openalex.org/W4316813693","doi":"https://doi.org/10.1145/3580218"},"language":"en","primary_location":{"id":"doi:10.1145/3580218","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580218","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"type":"review","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/A5029096455","display_name":"Behrouz Zolfaghari","orcid":"https://orcid.org/0000-0001-6691-0988"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Behrouz Zolfaghari","raw_affiliation_strings":["Department of Mathematics, Faculty of Education and Integrated Arts and Sciences, Waseda University, Ey\u00fcpsultan, Istanbul, Turkey, Japan"],"raw_orcid":"https://orcid.org/0000-0001-6691-0988","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Faculty of Education and Integrated Arts and Sciences, Waseda University, Ey\u00fcpsultan, Istanbul, Turkey, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025630770","display_name":"Leila Mirsadeghi","orcid":"https://orcid.org/0000-0002-7083-6685"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Leila Mirsadeghi","raw_affiliation_strings":["Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0002-7083-6685","affiliations":[{"raw_affiliation_string":"Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007979831","display_name":"Khodakhast Bibak","orcid":"https://orcid.org/0000-0003-3301-0232"},"institutions":[{"id":"https://openalex.org/I83328450","display_name":"Miami University","ror":"https://ror.org/05nbqxr67","country_code":"US","type":"education","lineage":["https://openalex.org/I83328450"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khodakhast Bibak","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Miami University, Oxford, OH, USA"],"raw_orcid":"https://orcid.org/0000-0003-3301-0232","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Miami University, Oxford, OH, USA","institution_ids":["https://openalex.org/I83328450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073876018","display_name":"Kaveh Kavousi","orcid":"https://orcid.org/0000-0002-1906-3912"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Kaveh Kavousi","raw_affiliation_strings":["Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0002-1906-3912","affiliations":[{"raw_affiliation_string":"Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.058,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.96227965,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"55","issue":"12","first_page":"1","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9987000226974487,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/computer-science","display_name":"Computer science","score":0.8298192620277405},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6953827142715454},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.6886352896690369},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.675491213798523},{"id":"https://openalex.org/keywords/lagging","display_name":"Lagging","score":0.657904863357544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5709178447723389},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5663912296295166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5543710589408875},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5541161298751831},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07684627175331116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8298192620277405},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6953827142715454},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.6886352896690369},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.675491213798523},{"id":"https://openalex.org/C2776962539","wikidata":"https://www.wikidata.org/wiki/Q6472078","display_name":"Lagging","level":2,"score":0.657904863357544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5709178447723389},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5663912296295166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5543710589408875},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5541161298751831},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07684627175331116},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580218","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580218","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":127,"referenced_works":["https://openalex.org/W41027960","https://openalex.org/W177004468","https://openalex.org/W1552767446","https://openalex.org/W1564135785","https://openalex.org/W1976173969","https://openalex.org/W1984890310","https://openalex.org/W1997918448","https://openalex.org/W1998505859","https://openalex.org/W2005687228","https://openalex.org/W2005827916","https://openalex.org/W2016023958","https://openalex.org/W2019858613","https://openalex.org/W2027967978","https://openalex.org/W2052278533","https://openalex.org/W2053268667","https://openalex.org/W2062630716","https://openalex.org/W2066456070","https://openalex.org/W2067953854","https://openalex.org/W2070412833","https://openalex.org/W2076356585","https://openalex.org/W2084709428","https://openalex.org/W2085944479","https://openalex.org/W2087433137","https://openalex.org/W2087684630","https://openalex.org/W2090009938","https://openalex.org/W2093124179","https://openalex.org/W2096283457","https://openalex.org/W2100347830","https://openalex.org/W2100857474","https://openalex.org/W2105912300","https://openalex.org/W2107633226","https://openalex.org/W2109363337","https://openalex.org/W2109555487","https://openalex.org/W2109757508","https://openalex.org/W2111547563","https://openalex.org/W2111790974","https://openalex.org/W2112124032","https://openalex.org/W2113599721","https://openalex.org/W2115157373","https://openalex.org/W2115629999","https://openalex.org/W2117004913","https://openalex.org/W2120680606","https://openalex.org/W2121149671","https://openalex.org/W2123696077","https://openalex.org/W2124649657","https://openalex.org/W2128985829","https://openalex.org/W2129321896","https://openalex.org/W2129560785","https://openalex.org/W2144012133","https://openalex.org/W2147246240","https://openalex.org/W2150671673","https://openalex.org/W2150884987","https://openalex.org/W2151309040","https://openalex.org/W2154730897","https://openalex.org/W2154952425","https://openalex.org/W2155399784","https://openalex.org/W2155806188","https://openalex.org/W2159400887","https://openalex.org/W2160450758","https://openalex.org/W2160680757","https://openalex.org/W2161818848","https://openalex.org/W2163563958","https://openalex.org/W2167769381","https://openalex.org/W2167917621","https://openalex.org/W2168960022","https://openalex.org/W2170860445","https://openalex.org/W2172300860","https://openalex.org/W2189223959","https://openalex.org/W2210004111","https://openalex.org/W2255778984","https://openalex.org/W2281013934","https://openalex.org/W2294157112","https://openalex.org/W2313070702","https://openalex.org/W2318031348","https://openalex.org/W2345129308","https://openalex.org/W2387001731","https://openalex.org/W2484239046","https://openalex.org/W2530579435","https://openalex.org/W2550489370","https://openalex.org/W2605331309","https://openalex.org/W2789895747","https://openalex.org/W2790246571","https://openalex.org/W2791015340","https://openalex.org/W2885984870","https://openalex.org/W2899432087","https://openalex.org/W2933738150","https://openalex.org/W2934399013","https://openalex.org/W2942407711","https://openalex.org/W2944939776","https://openalex.org/W2945819472","https://openalex.org/W2959687571","https://openalex.org/W2965191493","https://openalex.org/W2996092187","https://openalex.org/W2998550591","https://openalex.org/W3003229815","https://openalex.org/W3024746232","https://openalex.org/W3047155262","https://openalex.org/W3083699157","https://openalex.org/W3090592156","https://openalex.org/W3093542640","https://openalex.org/W3095595608","https://openalex.org/W3095749546","https://openalex.org/W3110602624","https://openalex.org/W3118581115","https://openalex.org/W3118615836","https://openalex.org/W3128628857","https://openalex.org/W3141256924","https://openalex.org/W3147894994","https://openalex.org/W3158436118","https://openalex.org/W3158966024","https://openalex.org/W3178621454","https://openalex.org/W3192519463","https://openalex.org/W3194441438","https://openalex.org/W3195127593","https://openalex.org/W4205395413","https://openalex.org/W4205955193","https://openalex.org/W4207020357","https://openalex.org/W4207032273","https://openalex.org/W4212883601","https://openalex.org/W4225518588","https://openalex.org/W4236137412","https://openalex.org/W4246697467","https://openalex.org/W4248401037","https://openalex.org/W4250972454","https://openalex.org/W4294107304","https://openalex.org/W4302039983","https://openalex.org/W7009437832"],"related_works":["https://openalex.org/W2135562825","https://openalex.org/W3145783610","https://openalex.org/W2354181859","https://openalex.org/W2757096358","https://openalex.org/W2472614530","https://openalex.org/W2375646802","https://openalex.org/W2052668055","https://openalex.org/W2162038069","https://openalex.org/W627568556","https://openalex.org/W2377375030"],"abstract_inverted_index":{"Ensemble":[0,104],"methods":[1,53,155],"try":[2],"to":[3,19,68,139],"improve":[4],"performance":[5],"via":[6],"integrating":[7],"different":[8,114],"kinds":[9],"of":[10,113,147,194],"input":[11,163],"data,":[12],"features,":[13],"or":[14,189],"learning":[15],"algorithms.":[16],"In":[17,78],"addition":[18],"other":[20],"areas,":[21],"they":[22],"are":[23],"finding":[24],"their":[25,92],"applications":[26],"in":[27,33,55,184],"cancer":[28,56,115,150],"prognosis":[29,57,112],"and":[30,58,74,90,111,171],"diagnosis.":[31],"However,":[32],"this":[34,79],"area,":[35],"the":[36,42,62,65,72,96,109,121,125,145,148,152,158,161,166,172,195],"research":[37,66,187],"community":[38,67],"is":[39],"lagging":[40],"behind":[41],"technology.":[43],"A":[44],"systematic":[45],"review":[46,120,137],"along":[47],"with":[48,71],"a":[49,99,140],"taxonomy":[50,141],"on":[51,86,103,133,191],"ensemble":[52,154],"used":[54,107,156],"diagnosis":[59,110],"can":[60],"pave":[61],"way":[63],"for":[64,98,108,157,181],"keep":[69],"pace":[70],"technology":[73],"even":[75],"lead":[76],"trend.":[77],"article,":[80],"we":[81,118,177],"first":[82],"present":[83],"an":[84],"overview":[85],"existing":[87,122,186],"relevant":[88],"surveys":[89],"highlight":[91],"shortcomings,":[93],"which":[94],"raise":[95],"need":[97],"new":[100],"survey":[101],"focusing":[102],"Classifiers":[105],"(ECs)":[106],"types.":[116],"Then,":[117],"exhaustively":[119],"methods,":[123],"including":[124],"traditional":[126],"ones":[127],"as":[128,130,142,144],"well":[129,143],"those":[131],"based":[132],"deep":[134],"learning.":[135],"The":[136],"leads":[138],"identification":[146],"best-studied":[149],"types,":[151,165],"best":[153],"related":[159],"purposes,":[160],"prevailing":[162],"data":[164],"most":[167],"common":[168,173],"decision-making":[169],"strategies,":[170],"evaluating":[174],"methodologies.":[175],"Moreover,":[176],"establish":[178],"future":[179],"directions":[180],"researchers":[182],"interested":[183],"following":[185],"trends":[188],"working":[190],"less-studied":[192],"aspects":[193],"area.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
