{"id":"https://openalex.org/W4385500217","doi":"https://doi.org/10.1515/jisys-2022-0297","title":"Predicting medicine demand using deep learning techniques: A review","display_name":"Predicting medicine demand using deep learning techniques: A review","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385500217","doi":"https://doi.org/10.1515/jisys-2022-0297"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2022-0297","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2022-0297","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0297/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0297/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092584772","display_name":"Bashaer Abdurahman Mousa","orcid":null},"institutions":[{"id":"https://openalex.org/I3131779051","display_name":"Iraqi University","ror":"https://ror.org/01wfhkb67","country_code":"IQ","type":"education","lineage":["https://openalex.org/I3131779051"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Bashaer Abdurahman Mousa","raw_affiliation_strings":["Iraqi Commission for Computer and Informatics, Informatics Institute for Postgraduate Studies , 10066 Baghdad , Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iraqi Commission for Computer and Informatics, Informatics Institute for Postgraduate Studies , 10066 Baghdad , Iraq","institution_ids":["https://openalex.org/I3131779051"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068021506","display_name":"Belal Al\u2010Khateeb","orcid":"https://orcid.org/0000-0003-3066-0790"},"institutions":[{"id":"https://openalex.org/I27768575","display_name":"University of Anbar","ror":"https://ror.org/055a6gk50","country_code":"IQ","type":"education","lineage":["https://openalex.org/I27768575"]}],"countries":["IQ"],"is_corresponding":true,"raw_author_name":"Belal Al-Khateeb","raw_affiliation_strings":["College of Computer Science and Information Technology, University of Anbar , Ramadi 31001 , Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Information Technology, University of Anbar , Ramadi 31001 , Iraq","institution_ids":["https://openalex.org/I27768575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068021506"],"corresponding_institution_ids":["https://openalex.org/I27768575"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":5.1505,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95681082,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"32","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6514744162559509},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6460427045822144},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5168491005897522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5016071796417236},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48473426699638367},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4788684546947479},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.46338140964508057},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.45816993713378906},{"id":"https://openalex.org/keywords/supply-and-demand","display_name":"Supply and demand","score":0.4376472234725952},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35998857021331787},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33673524856567383},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.325384259223938},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16845783591270447},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14690130949020386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1434444785118103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514744162559509},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6460427045822144},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5168491005897522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5016071796417236},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48473426699638367},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4788684546947479},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.46338140964508057},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.45816993713378906},{"id":"https://openalex.org/C120330832","wikidata":"https://www.wikidata.org/wiki/Q166656","display_name":"Supply and demand","level":2,"score":0.4376472234725952},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35998857021331787},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33673524856567383},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.325384259223938},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16845783591270447},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14690130949020386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1434444785118103},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/jisys-2022-0297","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2022-0297","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0297/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b4158506a62644348c8a264d536a1dfe","is_oa":true,"landing_page_url":"https://doaj.org/article/b4158506a62644348c8a264d536a1dfe","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":"Journal of Intelligent Systems, Vol 32, Iss 1, Pp p. 032073-5 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2022-0297","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2022-0297","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0297/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.49000000953674316,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385500217.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2741657101","https://openalex.org/W2804139725","https://openalex.org/W2921438067","https://openalex.org/W2973026551","https://openalex.org/W3005782185","https://openalex.org/W3011688043","https://openalex.org/W3012096460","https://openalex.org/W3091923520","https://openalex.org/W3134487997","https://openalex.org/W3135028703","https://openalex.org/W3135294663","https://openalex.org/W3143943806","https://openalex.org/W3164137752","https://openalex.org/W4200275124","https://openalex.org/W4206189171","https://openalex.org/W4206301766","https://openalex.org/W4214683532","https://openalex.org/W4236998827","https://openalex.org/W4285134068","https://openalex.org/W4285177176","https://openalex.org/W6635446973"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4380086463","https://openalex.org/W4309045103","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W3164822677"],"abstract_inverted_index":{"Abstract":[0],"The":[1,16],"supply":[2],"and":[3,14,36,54,79,101,109,117,137,156,171],"storage":[4,39,80,103],"of":[5,10,19,97,104,131,175,185,192,195,212],"drugs":[6],"are":[7,26,158],"critical":[8],"components":[9],"the":[11,67,72,94,129,162,179,183,193,221,232],"medical":[12],"industry":[13],"distribution.":[15],"shelf":[17],"life":[18],"most":[20],"medications":[21],"is":[22,32,43,59,86,208],"predetermined.":[23],"When":[24],"medicines":[25,98],"supplied":[27],"in":[28,92,182],"large":[29],"quantities":[30],"it":[31,58,230],"exceeding":[33],"actual":[34,68],"need,":[35],"long-term":[37],"drug":[38],"results.":[40],"If":[41],"demand":[42,188,214],"lower":[44],"than":[45],"necessary,":[46],"this":[47],"has":[48],"an":[49],"impact":[50],"on":[51],"consumer":[52],"happiness":[53],"medicine":[55],"marketing.":[56],"Therefore,":[57],"necessary":[60],"to":[61,65,75,88,121,160,168,177],"find":[62],"a":[63,209],"way":[64],"predict":[66],"quantity":[69],"required":[70,87,95],"for":[71,99,128,189,203],"organization\u2019s":[73],"needs":[74],"avoid":[76],"material":[77],"spoilage":[78],"problems.":[81],"A":[82],"mathematical":[83],"prediction":[84,123,163],"model":[85,126],"assist":[89],"any":[90],"management":[91],"achieving":[93],"availability":[96],"customers":[100],"safe":[102],"medicines.":[105],"Artificial":[106],"intelligence":[107],"applications":[108],"predictive":[110],"modeling":[111],"have":[112],"used":[113,159],"machine":[114],"learning":[115,119,173],"(ML)":[116],"deep":[118,172],"algorithms":[120],"build":[122],"models.":[124],"This":[125,165],"allows":[127],"optimization":[130],"inventory":[132],"levels,":[133],"thus":[134],"reducing":[135],"costs":[136],"potentially":[138],"increasing":[139],"sales.":[140],"Various":[141],"measures,":[142],"such":[143],"as":[144],"mean":[145,148,153],"squared":[146,150,154],"error,":[147,151,155],"absolute":[149],"root":[152],"others,":[157],"evaluate":[161],"model.":[164],"study":[166],"aims":[167],"review":[169],"ML":[170],"approaches":[174],"forecasting":[176,186],"obtain":[178],"highest":[180],"accuracy":[181],"process":[184],"future":[187],"pharmaceuticals.":[190],"Because":[191],"lack":[194],"data,":[196,215],"they":[197],"could":[198],"not":[199,225],"use":[200],"complex":[201],"models":[202],"prediction.":[204],"Even":[205],"when":[206,229],"there":[207],"long":[210],"history":[211],"accessible":[213],"these":[216],"problems":[217],"still":[218],"exist":[219],"because":[220],"old":[222],"data":[223],"may":[224],"be":[226],"very":[227],"useful":[228],"changes":[231],"market":[233],"climate.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-21T07:57:09.225873","created_date":"2025-10-10T00:00:00"}