{"id":"https://openalex.org/W3195929548","doi":"https://doi.org/10.1080/01605682.2021.1960908","title":"Gaussian relevance vector MapReduce-based annealed Glowworm optimization for big medical data scheduling","display_name":"Gaussian relevance vector MapReduce-based annealed Glowworm optimization for big medical data scheduling","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3195929548","doi":"https://doi.org/10.1080/01605682.2021.1960908","mag":"3195929548"},"language":"en","primary_location":{"id":"doi:10.1080/01605682.2021.1960908","is_oa":true,"landing_page_url":"https://doi.org/10.1080/01605682.2021.1960908","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/01605682.2021.1960908?needAccess=true","source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/01605682.2021.1960908?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050142015","display_name":"Rizwan Patan","orcid":"https://orcid.org/0000-0003-4878-1988"},"institutions":[{"id":"https://openalex.org/I116891498","display_name":"Siddhartha Medical College","ror":"https://ror.org/058pt1w78","country_code":"IN","type":"education","lineage":["https://openalex.org/I116891498"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rizwan Patan","raw_affiliation_strings":["Department of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India","institution_ids":["https://openalex.org/I116891498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005513302","display_name":"Suresh Kallam","orcid":"https://orcid.org/0000-0002-8698-2644"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suresh Kallam","raw_affiliation_strings":["Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039341855","display_name":"Amir H. Gandomi","orcid":"https://orcid.org/0000-0002-2798-0104"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amir H. Gandomi","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068471666","display_name":"Thomas Hanne","orcid":"https://orcid.org/0000-0002-5636-1660"},"institutions":[{"id":"https://openalex.org/I2972652528","display_name":"FHNW University of Applied Sciences and Arts","ror":"https://ror.org/04mq2g308","country_code":"CH","type":"education","lineage":["https://openalex.org/I2972652528"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Thomas Hanne","raw_affiliation_strings":["Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland"],"affiliations":[{"raw_affiliation_string":"Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland","institution_ids":["https://openalex.org/I2972652528"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027454208","display_name":"R. Manikandan","orcid":"https://orcid.org/0000-0001-6116-2132"},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manikandan Ramachandran","raw_affiliation_strings":["School of Computing, SASTRA Deemed University, Thanjavur, India"],"affiliations":[{"raw_affiliation_string":"School of Computing, SASTRA Deemed University, Thanjavur, India","institution_ids":["https://openalex.org/I932239252"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068471666"],"corresponding_institution_ids":["https://openalex.org/I2972652528"],"apc_list":null,"apc_paid":null,"fwci":0.4585,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65546774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"73","issue":"10","first_page":"2204","last_page":"2215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9866999983787537,"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"}},{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"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/computer-science","display_name":"Computer science","score":0.782925009727478},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6901562213897705},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5979690551757812},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3795207738876343},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2523563504219055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07428944110870361}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.782925009727478},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6901562213897705},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5979690551757812},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3795207738876343},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2523563504219055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07428944110870361}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/01605682.2021.1960908","is_oa":true,"landing_page_url":"https://doi.org/10.1080/01605682.2021.1960908","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/01605682.2021.1960908?needAccess=true","source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tjorxx:v:73:y:2022:i:10:p:2204-2215","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/01605682.2021.1960908","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"}],"best_oa_location":{"id":"doi:10.1080/01605682.2021.1960908","is_oa":true,"landing_page_url":"https://doi.org/10.1080/01605682.2021.1960908","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/01605682.2021.1960908?needAccess=true","source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3195929548.pdf","grobid_xml":"https://content.openalex.org/works/W3195929548.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W640741134","https://openalex.org/W1865302273","https://openalex.org/W1963489908","https://openalex.org/W2003321477","https://openalex.org/W2029098063","https://openalex.org/W2084078358","https://openalex.org/W2124794572","https://openalex.org/W2126578910","https://openalex.org/W2281782812","https://openalex.org/W2307897242","https://openalex.org/W2407961458","https://openalex.org/W2472113677","https://openalex.org/W2531479711","https://openalex.org/W2572322940","https://openalex.org/W2586831735","https://openalex.org/W2624878024","https://openalex.org/W2748971311","https://openalex.org/W2762232816","https://openalex.org/W2775686965","https://openalex.org/W2789491284","https://openalex.org/W2791677776","https://openalex.org/W2797427326","https://openalex.org/W2809336071","https://openalex.org/W2811373232","https://openalex.org/W2889566514","https://openalex.org/W2896098237","https://openalex.org/W2964248614","https://openalex.org/W3126064780","https://openalex.org/W4235243433","https://openalex.org/W4253491093"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757"],"abstract_inverted_index":{"Various":[0],"big-data":[1],"analytics":[2],"tools":[3],"and":[4,38,85,120,169],"techniques":[5],"have":[6],"been":[7],"developed":[8,93],"for":[9,94],"handling":[10],"massive":[11],"amounts":[12],"of":[13,42,73,98,108,115,127,174],"data":[14,76,111,177],"in":[15,28,149],"the":[16,40,71,95,105,122,138,146,150,166,171],"healthcare":[17,30,36,152],"sector.":[18],"However,":[19],"scheduling":[20,83,156,167,172],"is":[21],"a":[22,53,89,128],"significant":[23],"problem":[24],"to":[25,32,69,136,180],"be":[26],"solved":[27],"smart":[29,151],"applications":[31],"provide":[33],"better":[34],"quality":[35],"services":[37],"improve":[39,70],"efficiency":[41,84,168],"related":[43],"processes":[44],"when":[45],"considering":[46],"large":[47,74,109,175],"medical":[48,75,100,110,176],"files.":[49],"For":[50],"this":[51],"purpose,":[52],"new":[54],"hybrid":[55],"model":[56,91,103],"called":[57],"Gaussian":[58,129],"Relevance":[59],"Vector":[60],"MapReduce-based":[61],"Annealed":[62],"Glowworm":[63],"Optimization":[64],"Scheduling":[65],"(GRVM-AGS)":[66],"was":[67,92],"designed":[68],"balancing":[72],"files":[77],"between":[78],"different":[79],"physicians":[80],"with":[81,125,154],"higher":[82],"minimal":[86],"time.":[87,157],"First,":[88],"GRVM":[90,133],"predictive":[96],"analysis":[97,112,178],"input":[99],"data.":[101],"This":[102],"reduces":[104,170],"storage":[106],"complexity":[107],"by":[113],"means":[114],"eliminating":[116],"unwanted":[117],"patient":[118],"information":[119],"predicts":[121],"disease":[123],"class":[124],"help":[126],"kernel":[130],"function.":[131],"Afterwards,":[132],"performs":[134],"AGS":[135],"schedule":[137],"efficient":[139],"workloads":[140],"among":[141],"multiple":[142],"datacenters":[143],"based":[144],"on":[145],"luciferin":[147],"value":[148],"environment":[153],"reduced":[155],"Through":[158],"computational":[159],"experiments,":[160],"we":[161],"demonstrate":[162],"that":[163],"GRVM-AGS":[164],"increases":[165],"time":[173],"compared":[179],"state-of-the-art":[181],"approaches.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}