{"id":"https://openalex.org/W4285791420","doi":"https://doi.org/10.32604/iasc.2023.030100","title":"An Efficient Allocation for Lung Transplantation Using Ant Colony Optimization","display_name":"An Efficient Allocation for Lung Transplantation Using Ant Colony Optimization","publication_year":2022,"publication_date":"2022-07-19","ids":{"openalex":"https://openalex.org/W4285791420","doi":"https://doi.org/10.32604/iasc.2023.030100"},"language":"en","primary_location":{"id":"doi:10.32604/iasc.2023.030100","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2023.030100","pdf_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-35-2/TSP_IASC_30100/TSP_IASC_30100.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-35-2/TSP_IASC_30100/TSP_IASC_30100.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000538000","display_name":"Lina Al-Ebbini","orcid":"https://orcid.org/0000-0002-0893-2959"},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Lina M. K. Al-Ebbini","raw_affiliation_strings":["Biomedical Systems and Informatics Engineering Department, Hijjawi for Engineering Technology, Yarmouk University, Irbid, 21163, Jordan"],"affiliations":[{"raw_affiliation_string":"Biomedical Systems and Informatics Engineering Department, Hijjawi for Engineering Technology, Yarmouk University, Irbid, 21163, Jordan","institution_ids":["https://openalex.org/I85507684"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5000538000"],"corresponding_institution_ids":["https://openalex.org/I85507684"],"apc_list":null,"apc_paid":null,"fwci":1.9609,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85977335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"35","issue":"2","first_page":"1971","last_page":"1985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11189","display_name":"Transplantation: Methods and Outcomes","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11189","display_name":"Transplantation: Methods and Outcomes","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10999","display_name":"Organ Transplantation Techniques and Outcomes","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T13324","display_name":"Scientific and Engineering Research Topics","score":0.9180999994277954,"subfield":{"id":"https://openalex.org/subfields/3506","display_name":"Periodontics"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7957371473312378},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.7578162550926208},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5554877519607544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5060026049613953},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4774647057056427},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4694368839263916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44678086042404175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7957371473312378},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.7578162550926208},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5554877519607544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5060026049613953},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4774647057056427},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4694368839263916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44678086042404175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/iasc.2023.030100","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2023.030100","pdf_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-35-2/TSP_IASC_30100/TSP_IASC_30100.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/iasc.2023.030100","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2023.030100","pdf_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-35-2/TSP_IASC_30100/TSP_IASC_30100.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323855","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285791420.pdf","grobid_xml":"https://content.openalex.org/works/W4285791420.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W628987984","https://openalex.org/W769353746","https://openalex.org/W1122642768","https://openalex.org/W1543708291","https://openalex.org/W1557288165","https://openalex.org/W1845345803","https://openalex.org/W1964106115","https://openalex.org/W1967573487","https://openalex.org/W1984292712","https://openalex.org/W1993885071","https://openalex.org/W2016340027","https://openalex.org/W2017337590","https://openalex.org/W2021216880","https://openalex.org/W2060874313","https://openalex.org/W2069793024","https://openalex.org/W2083291013","https://openalex.org/W2085448343","https://openalex.org/W2085550130","https://openalex.org/W2088162121","https://openalex.org/W2090046834","https://openalex.org/W2103593753","https://openalex.org/W2107095123","https://openalex.org/W2111326077","https://openalex.org/W2118051273","https://openalex.org/W2119387367","https://openalex.org/W2127622064","https://openalex.org/W2139077936","https://openalex.org/W2141895973","https://openalex.org/W2142261360","https://openalex.org/W2144849308","https://openalex.org/W2155031242","https://openalex.org/W2155465975","https://openalex.org/W2163048132","https://openalex.org/W2166231585","https://openalex.org/W2279460660","https://openalex.org/W2328186245","https://openalex.org/W2338416927","https://openalex.org/W2560815360","https://openalex.org/W2742565980","https://openalex.org/W2757825312","https://openalex.org/W2765269360","https://openalex.org/W2774932786","https://openalex.org/W2792082159","https://openalex.org/W2918092070","https://openalex.org/W3162027902","https://openalex.org/W3203668668","https://openalex.org/W4213423983","https://openalex.org/W4292083457","https://openalex.org/W6654160965","https://openalex.org/W6659286786"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W2125776999","https://openalex.org/W4286629047","https://openalex.org/W4293525103","https://openalex.org/W3200179079","https://openalex.org/W3087493185","https://openalex.org/W2556319748","https://openalex.org/W4288748750"],"abstract_inverted_index":{"A":[0],"relationship":[1,55],"between":[2,56],"lung":[3,64,100,130,160,186],"transplant":[4,26,65],"success":[5,27,66],"and":[6,47,63,90,113,126,143,161,179,184,203],"many":[7],"features":[8,60,83,116],"of":[9,20,61,73,97,104,128,158],"recipients\u2019/donors":[10],"has":[11,28],"long":[12],"been":[13],"studied.":[14],"However,":[15],"modeling":[16],"a":[17,21,34,172,193],"robust":[18],"model":[19,38,107,170],"potential":[22,154],"impact":[23],"on":[24,42,175],"organ":[25],"proved":[29],"challenging.":[30],"In":[31,166],"this":[32],"study,":[33],"hybrid":[35],"feature":[36],"selection":[37],"was":[39,108],"developed":[40,121],"based":[41],"ant":[43],"colony":[44],"optimization":[45],"(ACO)":[46],"k-nearest":[48],"neighbor":[49],"(kNN)":[50],"classifier":[51],"to":[52,85,140,182,210],"investigate":[53],"the":[54,57,70,82,87,105,118,124,129,153,159,168,200,207,212],"most":[58],"defining":[59],"recipients/donors":[62],"using":[67,110],"data":[68],"from":[69,117],"United":[71],"Network":[72],"Organ":[74],"Sharing":[75],"(UNOS).":[76],"The":[77,102,120,133],"proposed":[78,106,169,201],"ACO-kNN":[79,191],"approach":[80,122],"explores":[81],"space":[84],"identify":[86],"representative":[88],"attributes":[89],"classify":[91],"patients\u2019":[92],"functional":[93],"status":[94],"(i.e.,":[95],"quality":[96],"life)":[98],"after":[99],"transplantation.":[101],"efficacy":[103],"verified":[109],"3,684":[111],"records":[112],"118":[114],"input":[115],"UNOS.":[119],"examined":[123],"reliability":[125],"validity":[127],"allocation":[131,164,187],"process.":[132],"results":[134],"are":[135],"promising":[136],"regarding":[137],"accuracy":[138],"prediction":[139],"be":[141],"91.3%":[142],"low":[144],"computational":[145],"time,":[146],"along":[147],"with":[148],"better":[149],"decision":[150],"capabilities,":[151],"emphasizing":[152],"for":[155,206],"automatic":[156],"classification":[157],"other":[162],"organs":[163],"processes.":[165],"addition,":[167],"recommends":[171],"new":[173],"perspective":[174],"how":[176],"medical":[177,194],"experts":[178],"clinicians":[180],"respond":[181],"uncertain":[183],"challenging":[185],"strategies.":[188],"Having":[189],"such":[190],"model,":[192],"professional":[195],"can":[196],"summarize":[197],"information":[198],"through":[199],"method":[202],"make":[204],"decisions":[205],"upcoming":[208],"transplants":[209],"allocate":[211],"donor":[213],"organ.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}