{"id":"https://openalex.org/W4283745996","doi":"https://doi.org/10.3390/info13070320","title":"Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism","display_name":"Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism","publication_year":2022,"publication_date":"2022-06-30","ids":{"openalex":"https://openalex.org/W4283745996","doi":"https://doi.org/10.3390/info13070320"},"language":"en","primary_location":{"id":"doi:10.3390/info13070320","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13070320","pdf_url":"https://www.mdpi.com/2078-2489/13/7/320/pdf?version=1656567443","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/13/7/320/pdf?version=1656567443","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107999241","display_name":"Gopal Nath","orcid":"https://orcid.org/0000-0002-2300-101X"},"institutions":[{"id":"https://openalex.org/I127362389","display_name":"Murray State University","ror":"https://ror.org/01fmwcn13","country_code":"US","type":"education","lineage":["https://openalex.org/I127362389"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gopal Nath","raw_affiliation_strings":["Department of Mathematics and Statistics, Murray State University, 6C-19 Faculty Hall, Murray, KY 42071, USA"],"raw_orcid":"https://orcid.org/0000-0002-2300-101X","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Murray State University, 6C-19 Faculty Hall, Murray, KY 42071, USA","institution_ids":["https://openalex.org/I127362389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434922","display_name":"Yawei Wang","orcid":"https://orcid.org/0000-0001-7760-1494"},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yawei Wang","raw_affiliation_strings":["Feliciano School of Business, Montclair State University, Montclair, NJ 07043, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Feliciano School of Business, Montclair State University, Montclair, NJ 07043, USA","institution_ids":["https://openalex.org/I166088655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037114121","display_name":"Austin Coursey","orcid":"https://orcid.org/0000-0003-1774-6442"},"institutions":[{"id":"https://openalex.org/I127362389","display_name":"Murray State University","ror":"https://ror.org/01fmwcn13","country_code":"US","type":"education","lineage":["https://openalex.org/I127362389"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Austin Coursey","raw_affiliation_strings":["Department of Computer Science and Information Systems, Murray State University, Murray, KY 42071, USA"],"raw_orcid":"https://orcid.org/0000-0003-1774-6442","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Systems, Murray State University, Murray, KY 42071, USA","institution_ids":["https://openalex.org/I127362389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071553332","display_name":"Krishna K. Saha","orcid":"https://orcid.org/0000-0001-9539-0985"},"institutions":[{"id":"https://openalex.org/I154264771","display_name":"Central Connecticut State University","ror":"https://ror.org/054gzqw08","country_code":"US","type":"education","lineage":["https://openalex.org/I154264771","https://openalex.org/I4210132746"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishna K. Saha","raw_affiliation_strings":["Department of Mathematical Sciences, Central Connecticut State University, New Britain, CT 06050, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, Central Connecticut State University, New Britain, CT 06050, USA","institution_ids":["https://openalex.org/I154264771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002001465","display_name":"Srikanth Prabhu","orcid":"https://orcid.org/0000-0002-3826-1084"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srikanth Prabhu","raw_affiliation_strings":["Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal 576104, India"],"raw_orcid":"https://orcid.org/0000-0002-3826-1084","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal 576104, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083879896","display_name":"Saptarshi Sengupta","orcid":"https://orcid.org/0000-0003-1114-343X"},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saptarshi Sengupta","raw_affiliation_strings":["Department of Computer Science, San Jose\u2019 State University, 1 Washington Sq, San Jose, CA 95192, USA","Department of Computer Science, San Jose' State University, 1 Washington Sq, San Jose, CA 95192, USA"],"raw_orcid":"https://orcid.org/0000-0003-1114-343X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, San Jose\u2019 State University, 1 Washington Sq, San Jose, CA 95192, USA","institution_ids":["https://openalex.org/I51504820"]},{"raw_affiliation_string":"Department of Computer Science, San Jose' State University, 1 Washington Sq, San Jose, CA 95192, USA","institution_ids":["https://openalex.org/I51504820"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5107999241"],"corresponding_institution_ids":["https://openalex.org/I127362389"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.3874,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8411289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"13","issue":"7","first_page":"320","last_page":"320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9929999709129333,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9929999709129333,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":0.9508000016212463,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/absenteeism","display_name":"Absenteeism","score":0.8124727010726929},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.8066332340240479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6821869611740112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6604263186454773},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6168156862258911},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.551987886428833},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.5361587405204773},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5356231927871704},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5315921902656555},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.5196172595024109},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4353524148464203},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.4211709499359131},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3409324884414673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2652541995048523}],"concepts":[{"id":"https://openalex.org/C27400517","wikidata":"https://www.wikidata.org/wiki/Q332278","display_name":"Absenteeism","level":2,"score":0.8124727010726929},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8066332340240479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6821869611740112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604263186454773},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6168156862258911},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.551987886428833},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.5361587405204773},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5356231927871704},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5315921902656555},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.5196172595024109},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4353524148464203},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4211709499359131},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3409324884414673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2652541995048523},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/info13070320","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13070320","pdf_url":"https://www.mdpi.com/2078-2489/13/7/320/pdf?version=1656567443","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:scholarworks.sjsu.edu:faculty_rsca-4079","is_oa":true,"landing_page_url":"https://scholarworks.sjsu.edu/faculty_rsca/3080","pdf_url":null,"source":{"id":"https://openalex.org/S4377196389","display_name":"San Jos\u00e9 State University ScholarWorks (San Jose State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51504820","host_organization_name":"San Jose State University","host_organization_lineage":["https://openalex.org/I51504820"],"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":"Faculty Research, Scholarly, and Creative Activity","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:06565398eb8a452f941b350c93861099","is_oa":true,"landing_page_url":"https://doaj.org/article/06565398eb8a452f941b350c93861099","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 13, Iss 7, p 320 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/13/7/320/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/info13070320","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Information; Volume 13; Issue 7; Pages: 320","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info13070320","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13070320","pdf_url":"https://www.mdpi.com/2078-2489/13/7/320/pdf?version=1656567443","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283745996.pdf","grobid_xml":"https://content.openalex.org/works/W4283745996.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1514795309","https://openalex.org/W1964602735","https://openalex.org/W2001355090","https://openalex.org/W2012907745","https://openalex.org/W2049718985","https://openalex.org/W2056183294","https://openalex.org/W2067603063","https://openalex.org/W2069360745","https://openalex.org/W2076983043","https://openalex.org/W2111344793","https://openalex.org/W2117593241","https://openalex.org/W2119480209","https://openalex.org/W2127407522","https://openalex.org/W2148143831","https://openalex.org/W2157825442","https://openalex.org/W2158698691","https://openalex.org/W2184944079","https://openalex.org/W2522137943","https://openalex.org/W2592612020","https://openalex.org/W2742040631","https://openalex.org/W2761181345","https://openalex.org/W2780196489","https://openalex.org/W2792149884","https://openalex.org/W2808864681","https://openalex.org/W2901312569","https://openalex.org/W2906836754","https://openalex.org/W2914624493","https://openalex.org/W2918408501","https://openalex.org/W2936503027","https://openalex.org/W2962981269","https://openalex.org/W2970428221","https://openalex.org/W2971757441","https://openalex.org/W3006908005","https://openalex.org/W3018413323","https://openalex.org/W3023211159","https://openalex.org/W3091079739","https://openalex.org/W3126673261","https://openalex.org/W3129140837","https://openalex.org/W3135329354","https://openalex.org/W4211036332","https://openalex.org/W4224066465","https://openalex.org/W4230674625","https://openalex.org/W4238822151","https://openalex.org/W4240131648","https://openalex.org/W6667603686","https://openalex.org/W6676690491","https://openalex.org/W6686541332","https://openalex.org/W6747624629","https://openalex.org/W6757637323","https://openalex.org/W6774135451","https://openalex.org/W6802797204","https://openalex.org/W6810061571"],"related_works":["https://openalex.org/W2134662772","https://openalex.org/W4242416360","https://openalex.org/W2993715754","https://openalex.org/W3211115967","https://openalex.org/W2222151703","https://openalex.org/W2289841487","https://openalex.org/W2088302573","https://openalex.org/W2059249381","https://openalex.org/W1990824267","https://openalex.org/W3081905205"],"abstract_inverted_index":{"Productivity":[0],"losses":[1],"caused":[2],"by":[3,177],"absenteeism":[4,70,84,206],"at":[5],"work":[6],"cost":[7],"U.S.":[8],"employers":[9,17],"billions":[10],"of":[11,23,110,202,229],"dollars":[12],"each":[13],"year.":[14],"In":[15,80],"addition,":[16],"typically":[18],"spend":[19,164],"a":[20,76,172],"considerable":[21],"amount":[22],"time":[24,162],"managing":[25],"employees":[26],"who":[27],"perform":[28],"poorly.":[29],"By":[30],"using":[31,99],"predictive":[32],"analytics":[33,179],"and":[34,49,105,126,140,194,226],"machine":[35,111,155,166,203],"learning":[36,112,167],"algorithms,":[37],"organizations":[38],"can":[39,195,208],"make":[40,190],"better":[41],"decisions,":[42,193],"thereby":[43],"increasing":[44],"organizational":[45],"productivity,":[46],"reducing":[47],"costs,":[48],"improving":[50],"efficiency.":[51],"Thus,":[52,169],"in":[53,61,154,211,221],"this":[54],"paper":[55],"we":[56,86,170],"propose":[57,171],"hybrid":[58],"optimization":[59],"methods":[60,109],"order":[62,81],"to":[63,82,163,189,218],"find":[64],"the":[65,88,91,97,100,132,145,161,222,227],"most":[66],"parsimonious":[67],"model":[68,134],"for":[69],"classification.":[71],"We":[72,130],"utilized":[73],"data":[74],"from":[75],"Brazilian":[77],"courier":[78],"company.":[79],"categorize":[83],"classes,":[85],"preprocessed":[87],"data,":[89],"selected":[90,131],"attributes":[92],"via":[93],"multiple":[94],"methods,":[95],"balanced":[96],"dataset":[98],"synthetic":[101],"minority":[102],"over-sampling":[103],"method,":[104],"then":[106],"employed":[107],"four":[108],"classification:":[113],"Support":[114],"Vector":[115],"Machine":[116],"(SVM),":[117],"Multinomial":[118],"Logistic":[119],"Regression":[120],"(MLR),":[121],"Artificial":[122],"Neural":[123],"Network":[124],"(ANN),":[125],"Random":[127],"Forest":[128],"(RF).":[129],"best":[133],"based":[135],"on":[136],"several":[137],"validation":[138],"scores,":[139],"compared":[141],"its":[142],"performance":[143],"against":[144],"existing":[146],"model.":[147],"Furthermore,":[148],"project":[149],"managers":[150,188,210],"may":[151,158],"lack":[152],"experience":[153],"learning,":[156],"or":[157,214],"not":[159],"have":[160],"developing":[165],"algorithms.":[168],"web-based":[173,184],"interactive":[174],"tool":[175,186],"supported":[176],"cognitive":[178],"management":[180],"(CAM)":[181],"theory.":[182],"The":[183],"decision":[185],"enables":[187],"more":[191],"informed":[192],"be":[196],"used":[197],"without":[198],"any":[199],"prior":[200],"knowledge":[201],"learning.":[204],"Understanding":[205],"patterns":[207],"assist":[209],"revising":[212],"policies":[213],"creating":[215],"new":[216],"arrangements":[217],"reduce":[219],"absences":[220],"workplace,":[223],"financial":[224],"losses,":[225],"probability":[228],"economic":[230],"insolvency.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2025-10-10T00:00:00"}
