{"id":"https://openalex.org/W3134089754","doi":"https://doi.org/10.1109/access.2021.3062687","title":"Research on Disease Prediction Based on Improved DeepFM and IoMT","display_name":"Research on Disease Prediction Based on Improved DeepFM and IoMT","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3134089754","doi":"https://doi.org/10.1109/access.2021.3062687","mag":"3134089754"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3062687","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3062687","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09364992.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09364992.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021542270","display_name":"Zengchen Yu","orcid":"https://orcid.org/0000-0003-1931-0810"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengchen Yu","raw_affiliation_strings":["School of Data Science and Software Engineering, Qingdao University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science and Software Engineering, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007931218","display_name":"Syed Umar Amin","orcid":"https://orcid.org/0000-0002-4718-0155"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Syed Umar Amin","raw_affiliation_strings":["College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-4718-0155","affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052648906","display_name":"Musaed Alhussein","orcid":"https://orcid.org/0000-0002-5538-6778"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Musaed Alhussein","raw_affiliation_strings":["College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-5538-6778","affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108044017","display_name":"Zhihan Lv","orcid":"https://orcid.org/0000-0003-2525-3074"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihan Lv","raw_affiliation_strings":["School of Data Science and Software Engineering, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-2525-3074","affiliations":[{"raw_affiliation_string":"School of Data Science and Software Engineering, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":24.5362,"has_fulltext":true,"cited_by_count":104,"citation_normalized_percentile":{"value":0.99490872,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"39043","last_page":"39054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9664999842643738,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9664999842643738,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9444000124931335,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9223999977111816,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7544615864753723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7403929233551025},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7246062159538269},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7064001560211182},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5982856154441833},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5910141468048096},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5167728662490845},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.49860715866088867},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4904744327068329},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32137951254844666},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.281818687915802},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13951721787452698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7544615864753723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7403929233551025},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7246062159538269},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7064001560211182},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5982856154441833},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5910141468048096},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5167728662490845},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.49860715866088867},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4904744327068329},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32137951254844666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.281818687915802},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13951721787452698},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3062687","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3062687","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09364992.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:abcfd0c2c609410b90c6618fab66f2e4","is_oa":true,"landing_page_url":"https://doaj.org/article/abcfd0c2c609410b90c6618fab66f2e4","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":"IEEE Access, Vol 9, Pp 39043-39054 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3062687","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3062687","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09364992.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G7799068651","display_name":null,"funder_award_id":"RG-1436-016","funder_id":"https://openalex.org/F4320321145","funder_display_name":"King Saud University"}],"funders":[{"id":"https://openalex.org/F4320321145","display_name":"King Saud University","ror":"https://ror.org/02f81g417"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3134089754.pdf","grobid_xml":"https://content.openalex.org/works/W3134089754.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W110283499","https://openalex.org/W955924517","https://openalex.org/W1587835186","https://openalex.org/W1966933694","https://openalex.org/W2007324452","https://openalex.org/W2013831731","https://openalex.org/W2031278977","https://openalex.org/W2050103272","https://openalex.org/W2092168252","https://openalex.org/W2094286023","https://openalex.org/W2139810397","https://openalex.org/W2220281005","https://openalex.org/W2306447822","https://openalex.org/W2317747200","https://openalex.org/W2467570466","https://openalex.org/W2524898498","https://openalex.org/W2592438485","https://openalex.org/W2733384076","https://openalex.org/W2745024368","https://openalex.org/W2767599172","https://openalex.org/W2769457059","https://openalex.org/W2769507557","https://openalex.org/W2788490371","https://openalex.org/W2802105625","https://openalex.org/W2808420356","https://openalex.org/W2890630524","https://openalex.org/W2909891236","https://openalex.org/W2913246999","https://openalex.org/W2915695037","https://openalex.org/W2921037171","https://openalex.org/W2946933691","https://openalex.org/W2963004721","https://openalex.org/W2963323306","https://openalex.org/W2969688753","https://openalex.org/W2974146195","https://openalex.org/W2974692022","https://openalex.org/W2994804675","https://openalex.org/W2997455317","https://openalex.org/W2998190178","https://openalex.org/W3000173096","https://openalex.org/W3009569212","https://openalex.org/W3023740396","https://openalex.org/W3025850044","https://openalex.org/W3031885913","https://openalex.org/W3038816499","https://openalex.org/W3040766084","https://openalex.org/W3045915250","https://openalex.org/W3048860064","https://openalex.org/W3080290774","https://openalex.org/W3081817842","https://openalex.org/W3085987929","https://openalex.org/W3086587857","https://openalex.org/W3087344810","https://openalex.org/W3092020643","https://openalex.org/W3093231418","https://openalex.org/W3097904695","https://openalex.org/W3098723082","https://openalex.org/W3099810366","https://openalex.org/W3105024967","https://openalex.org/W3107514561","https://openalex.org/W3118700407","https://openalex.org/W3120410098","https://openalex.org/W4238935255","https://openalex.org/W4250373672"],"related_works":["https://openalex.org/W986318368","https://openalex.org/W2000785801","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W4390608645","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W2990194547","https://openalex.org/W1480123525","https://openalex.org/W2620865396"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3,188,221],"the":[4,45,52,89,118,147,152,157,165,171,191,210,219,241,258],"increase":[5],"of":[6,19,39,47,54,85,91,132,159,170,212,243],"computer":[7],"computing":[8],"power,":[9],"Deep":[10,40,58],"Learning":[11,41,59],"has":[12,23,42,87,194],"begun":[13],"to":[14,77,146,185,204,208,252,255],"be":[15,202,250,261],"favored.":[16],"Its":[17],"learning":[18,30],"non-linear":[20],"feature":[21],"combinations":[22,68],"played":[24],"a":[25,271],"role":[26],"that":[27,257],"traditional":[28],"machine":[29],"cannot":[31],"reach":[32],"in":[33,51,161,164,197,263,266,279],"almost":[34],"every":[35],"field.":[36],"The":[37,83],"application":[38],"also":[43,135],"driven":[44],"advancement":[46],"Factorization":[48],"Machine":[49],"(FM)":[50],"field":[53],"recommendation":[55],"systems,":[56],"because":[57],"and":[60,65,70,122,128,142,178,182,214,281],"FM":[61],"can":[62,201,239,249,260],"learn":[63,78],"high-order":[64],"low-order":[66],"features":[67],"respectively,":[69],"FM's":[71],"hidden":[72],"vector":[73],"system":[74,273],"enables":[75],"it":[76],"information":[79],"from":[80],"sparse":[81],"data.":[82],"integration":[84],"them":[86],"attracted":[88],"attention":[90],"many":[92,97],"scholars.":[93],"They":[94],"have":[95],"researched":[96],"classic":[98],"models":[99],"such":[100,230],"as":[101,231],"Factorization-supported":[102],"Neural":[103,107],"Network":[104],"(FNN),":[105],"Product-based":[106],"Networks":[108],"(PNN),":[109],"Inner":[110],"PNN":[111],"(IPNN),":[112],"Wide&Deep,":[113],"Deep&Cross,":[114],"DeepFM,":[115],"etc.":[116],"for":[117,137],"Click-Through-Rate":[119],"(CTR)":[120],"problem,":[121],"their":[123],"performance":[124,196],"is":[125,134,274,277],"getting":[126],"better":[127],"better.":[129],"This":[130,199],"kind":[131],"model":[133],"suitable":[136],"agriculture,":[138],"meteorology,":[139],"disease":[140,167,259],"prediction":[141,168],"other":[143,189],"fields":[144],"due":[145],"above":[148],"advantages.":[149],"Based":[150],"on":[151,218],"DeepFM":[153,193],"model,":[154],"we":[155,238],"predicts":[156],"incidence":[158,224],"hepatitis":[160],"each":[162],"sample":[163],"structured":[166],"data":[169],"2020":[172],"Artificial":[173],"Intelligence":[174],"Challenge":[175],"Preliminary":[176],"Competition,":[177],"make":[179,215],"minor":[180],"improvements":[181],"parameter":[183],"adjustments":[184],"DeepFM.":[186],"Compared":[187],"models,":[190],"improved":[192],"excellent":[195],"AUC.":[198],"research":[200],"applied":[203],"electronic":[205],"medical":[206],"records":[207],"reduce":[209],"workload":[211],"doctors":[213,216],"focus":[217],"samples":[220],"higher":[222],"predicted":[223,262],"rates.":[225],"For":[226],"some":[227],"changing":[228],"data,":[229],"blood":[232],"pressure,":[233],"height,":[234],"weight,":[235],"cholesterol,":[236],"etc.,":[237],"introduce":[240],"Internet":[242],"Medical":[244],"Things":[245],"(IoMT).":[246],"IoMT's":[247],"sensors":[248],"used":[251],"conduct":[253],"transmission":[254],"ensure":[256],"time,":[264],"just":[265],"case.":[267],"After":[268],"joining":[269],"IoMT,":[270],"healthcare":[272],"formed,":[275],"which":[276],"superior":[278],"forecasting":[280],"time":[282],"performance.":[283]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":44},{"year":2021,"cited_by_count":24}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}