{"id":"https://openalex.org/W3190980906","doi":"https://doi.org/10.1109/icaicst53116.2021.9497824","title":"Particle Swarm Optimization to Support Low Protein Diets for Diabetic Nephropathy Patients","display_name":"Particle Swarm Optimization to Support Low Protein Diets for Diabetic Nephropathy Patients","publication_year":2021,"publication_date":"2021-06-29","ids":{"openalex":"https://openalex.org/W3190980906","doi":"https://doi.org/10.1109/icaicst53116.2021.9497824","mag":"3190980906"},"language":"en","primary_location":{"id":"doi:10.1109/icaicst53116.2021.9497824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaicst53116.2021.9497824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST)","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/A5049043538","display_name":"Ferina U Salamah","orcid":null},"institutions":[{"id":"https://openalex.org/I119896790","display_name":"Sebelas Maret University","ror":"https://ror.org/021hq5q33","country_code":"ID","type":"education","lineage":["https://openalex.org/I119896790"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Ferina U Salamah","raw_affiliation_strings":["Universitas Sebelas Maret, Surakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"Universitas Sebelas Maret, Surakarta, Indonesia","institution_ids":["https://openalex.org/I119896790"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063158239","display_name":"Dewi Wardani","orcid":"https://orcid.org/0000-0002-3178-2741"},"institutions":[{"id":"https://openalex.org/I119896790","display_name":"Sebelas Maret University","ror":"https://ror.org/021hq5q33","country_code":"ID","type":"education","lineage":["https://openalex.org/I119896790"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dewi Wardani","raw_affiliation_strings":["Universitas Sebelas Maret, Surakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"Universitas Sebelas Maret, Surakarta, Indonesia","institution_ids":["https://openalex.org/I119896790"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049043538"],"corresponding_institution_ids":["https://openalex.org/I119896790"],"apc_list":null,"apc_paid":null,"fwci":0.5677,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73400318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"240","last_page":"245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13913","display_name":"Blockchain Technology in Education and Learning","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13913","display_name":"Blockchain Technology in Education and Learning","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.941100001335144,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14216","display_name":"Multimedia Learning Systems","score":0.927299976348877,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/microalbuminuria","display_name":"Microalbuminuria","score":0.8571740388870239},{"id":"https://openalex.org/keywords/diabetic-nephropathy","display_name":"Diabetic nephropathy","score":0.7643370628356934},{"id":"https://openalex.org/keywords/nephropathy","display_name":"Nephropathy","score":0.675094723701477},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6712677478790283},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6283875703811646},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.6186139583587646},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.41868436336517334},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.348776638507843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27896028757095337},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21267354488372803},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.19528594613075256},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09481438994407654}],"concepts":[{"id":"https://openalex.org/C2781203188","wikidata":"https://www.wikidata.org/wiki/Q1676817","display_name":"Microalbuminuria","level":3,"score":0.8571740388870239},{"id":"https://openalex.org/C2779922275","wikidata":"https://www.wikidata.org/wiki/Q1129105","display_name":"Diabetic nephropathy","level":3,"score":0.7643370628356934},{"id":"https://openalex.org/C2781184683","wikidata":"https://www.wikidata.org/wiki/Q1054718","display_name":"Nephropathy","level":3,"score":0.675094723701477},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6712677478790283},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6283875703811646},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.6186139583587646},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.41868436336517334},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.348776638507843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27896028757095337},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21267354488372803},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.19528594613075256},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09481438994407654},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaicst53116.2021.9497824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaicst53116.2021.9497824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W205990317","https://openalex.org/W2152195021","https://openalex.org/W2621142719","https://openalex.org/W2699368587","https://openalex.org/W2710857483","https://openalex.org/W2793413713","https://openalex.org/W2799724524","https://openalex.org/W2811156907","https://openalex.org/W2911805155","https://openalex.org/W2941357807","https://openalex.org/W2943813973","https://openalex.org/W2980740423","https://openalex.org/W2994084599","https://openalex.org/W3126465733","https://openalex.org/W6739959563","https://openalex.org/W6771041536","https://openalex.org/W6790155047","https://openalex.org/W6805962627"],"related_works":["https://openalex.org/W2281013122","https://openalex.org/W581400513","https://openalex.org/W2412956354","https://openalex.org/W2366032626","https://openalex.org/W2010339928","https://openalex.org/W2586483230","https://openalex.org/W2416309671","https://openalex.org/W1571936362","https://openalex.org/W2582605778","https://openalex.org/W1974938188"],"abstract_inverted_index":{"Diabetic":[0],"nephropathy":[1,38,92],"is":[2,39,45,135],"a":[3,77,85],"major":[4],"cause":[5],"of":[6,25,32,112,142,151,164],"morbidity":[7],"and":[8,15,27],"mortality":[9],"in":[10,57,74],"patients":[11,35,58,93,119],"with":[12,36,59,139],"type":[13],"1":[14],"2":[16],"diabetes":[17],"Mellitus.":[18],"One":[19],"way":[20],"to":[21,28,83,89,107,145],"prevent":[22],"the":[23,30,109,124,131,137,149],"development":[24,31],"microalbuminuria":[26],"delay":[29],"macroalbuminuria":[33],"for":[34],"diabetic":[37,60,91],"by":[40,55,157],"taking":[41],"one":[42],"treatment":[43],"that":[44],"adjusting":[46],"low-protein":[47],"diets.":[48],"Dietary":[49],"therapy":[50],"has":[51],"often":[52],"been":[53],"recommended":[54],"doctors":[56],"nephropathy,":[61],"but":[62],"people":[63],"have":[64],"difficulty":[65],"determining":[66],"which":[67],"foods":[68],"can":[69],"be":[70],"consumed":[71],"daily.":[72],"Therefore":[73],"this":[75,116],"work,":[76,117],"Food":[78],"Recommendation":[79],"System":[80],"was":[81],"built":[82],"support":[84],"Low":[86],"Protein":[87],"Diet":[88],"help":[90],"determine":[94],"their":[95],"daily":[96],"food":[97,113,132],"consumption.":[98],"This":[99],"research":[100],"uses":[101],"Particle":[102],"Swarm":[103],"Optimization":[104],"(PSO)":[105],"method":[106],"get":[108],"maximum":[110],"variation":[111],"ingredients.":[114],"In":[115],"130":[118],"were":[120],"tested.":[121],"Based":[122],"on":[123,127],"test":[125],"results":[126,150],"120":[128],"patient":[129,146],"data,":[130],"ingredients":[133,143],"obtained":[134,159],"almost":[136],"same":[138],"different":[140],"weight":[141],"according":[144],"needs.":[147],"While":[148],"testing":[152],"10":[153],"other":[154],"data":[155],"conducted":[156],"experts":[158],"an":[160],"average":[161],"evaluation":[162],"value":[163],"3.5":[165],"points":[166],"from":[167],"5":[168],"points.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}