{"id":"https://openalex.org/W4392154776","doi":"https://doi.org/10.3390/fi16030075","title":"A Lightweight Neural Network Model for Disease Risk Prediction in Edge Intelligent Computing Architecture","display_name":"A Lightweight Neural Network Model for Disease Risk Prediction in Edge Intelligent Computing Architecture","publication_year":2024,"publication_date":"2024-02-26","ids":{"openalex":"https://openalex.org/W4392154776","doi":"https://doi.org/10.3390/fi16030075"},"language":"en","primary_location":{"id":"doi:10.3390/fi16030075","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi16030075","pdf_url":"https://www.mdpi.com/1999-5903/16/3/75/pdf?version=1708936983","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"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":"Future Internet","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-5903/16/3/75/pdf?version=1708936983","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109234652","display_name":"Feng Zhou","orcid":"https://orcid.org/0000-0001-5810-701X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhou","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai 200438, China"],"raw_orcid":"https://orcid.org/0000-0001-5810-701X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai 200438, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102943987","display_name":"Shijing Hu","orcid":"https://orcid.org/0009-0001-8509-1751"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shijing Hu","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai 200438, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai 200438, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101820227","display_name":"Xin Du","orcid":"https://orcid.org/0000-0003-1108-0248"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Du","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai 200438, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai 200438, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049431779","display_name":"Wan Xiaoli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoli Wan","raw_affiliation_strings":["Information Center, Zhejiang International Business Group, Hangzhou 310000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Center, Zhejiang International Business Group, Hangzhou 310000, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600532","display_name":"Jie Wu","orcid":"https://orcid.org/0000-0003-0404-0707"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai 200438, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai 200438, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102943987"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":4.3496,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95047964,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"16","issue":"3","first_page":"75","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9887999892234802,"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":0.9860000014305115,"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":0.8899037837982178},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.628260612487793},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5567895770072937},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.49826860427856445},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4977255165576935},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4373881220817566},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4282093644142151},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4117891490459442},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3933829665184021},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.34964311122894287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3466758728027344},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2504826486110687},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13774767518043518},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.08907338976860046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8899037837982178},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.628260612487793},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5567895770072937},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.49826860427856445},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4977255165576935},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4373881220817566},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4282093644142151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4117891490459442},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3933829665184021},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.34964311122894287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3466758728027344},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2504826486110687},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13774767518043518},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.08907338976860046}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/fi16030075","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi16030075","pdf_url":"https://www.mdpi.com/1999-5903/16/3/75/pdf?version=1708936983","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"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":"Future Internet","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:gam:jftint:v:16:y:2024:i:3:p:75-:d:1346008","is_oa":false,"landing_page_url":"https://www.mdpi.com/1999-5903/16/3/75/","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"},{"id":"pmh:oai:doaj.org/article:7857c6cdcab5497fa48a4af7afac2c84","is_oa":false,"landing_page_url":"https://doaj.org/article/7857c6cdcab5497fa48a4af7afac2c84","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Future Internet, Vol 16, Iss 3, p 75 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/fi16030075","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi16030075","pdf_url":"https://www.mdpi.com/1999-5903/16/3/75/pdf?version=1708936983","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"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":"Future Internet","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5906920483","display_name":null,"funder_award_id":"61873309","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G612673205","display_name":null,"funder_award_id":"2019YFB1405000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7122685710","display_name":"\u6570\u636e\u9a71\u52a8\u7684CDN\u8fb9\u7f18\u8ba1\u7b97\u8d44\u6e90\u8c03\u5ea6\u548c\u90e8\u7f72\u673a\u5236\u7814\u7a76","funder_award_id":"61873309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7503024353","display_name":null,"funder_award_id":"92046024","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7731102473","display_name":null,"funder_award_id":"92146002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G776895963","display_name":null,"funder_award_id":"92146002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8740526965","display_name":null,"funder_award_id":"92046024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392154776.pdf","grobid_xml":"https://content.openalex.org/works/W4392154776.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2752782242","https://openalex.org/W2963163009","https://openalex.org/W2963918968","https://openalex.org/W2982083293","https://openalex.org/W3031337867","https://openalex.org/W3034552520","https://openalex.org/W3047828237","https://openalex.org/W3088428904","https://openalex.org/W3095251140","https://openalex.org/W3111512201","https://openalex.org/W3126842209","https://openalex.org/W3137174978","https://openalex.org/W3155100294","https://openalex.org/W3158590963","https://openalex.org/W3187784948","https://openalex.org/W3211185929","https://openalex.org/W3217570006","https://openalex.org/W4211249696","https://openalex.org/W4214588794","https://openalex.org/W4214841549","https://openalex.org/W4220867361","https://openalex.org/W4285196740","https://openalex.org/W4285982473","https://openalex.org/W4290963548","https://openalex.org/W4290996241","https://openalex.org/W4313170858","https://openalex.org/W4320036918","https://openalex.org/W4321375678","https://openalex.org/W4380048609","https://openalex.org/W4380926372","https://openalex.org/W4385240980","https://openalex.org/W4388820299","https://openalex.org/W4390874458"],"related_works":["https://openalex.org/W3154796165","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313339048","https://openalex.org/W4386004629","https://openalex.org/W3023564924","https://openalex.org/W2942586735"],"abstract_inverted_index":{"In":[0,46,151],"the":[1,33,39,43,69,81,108,117,124,128,152,155,160,163,170,176,181,188,192],"current":[2],"field":[3],"of":[4,13,141,149],"disease":[5,86,97],"risk":[6,87,98],"prediction":[7,23,99,102],"research,":[8],"there":[9],"are":[10],"many":[11],"methods":[12],"using":[14],"servers":[15],"for":[16,68,85,96],"centralized":[17,27],"computing":[18,28,40,77,92,125],"to":[19],"train":[20],"and":[21,38,55,105,122,143,165,187],"infer":[22],"models.":[24],"However,":[25],"this":[26,47],"method":[29,54,93],"increases":[30],"storage":[31,112],"space,":[32],"load":[34,118],"on":[35,42,80,119,127],"network":[36,60,120,133],"bandwidth,":[37],"pressure":[41,126],"central":[44],"server.":[45,129],"article,":[48],"we":[49,94,135],"design":[50],"an":[51],"image":[52],"preprocessing":[53],"propose":[56,72],"a":[57,73],"lightweight":[58,131],"neural":[59,132],"model":[61,103,134,157],"called":[62],"Linge":[63,156],"(Lightweight":[64],"Neural":[65],"Network":[66],"Models":[67],"Edge).":[70],"We":[71],"distributed":[74],"intelligent":[75,90],"edge":[76,91,109],"technology":[78],"based":[79],"federated":[82],"learning":[83],"algorithm":[84],"prediction.":[88],"The":[89,130],"proposed":[95],"directly":[100],"performs":[101],"training":[104],"inference":[106],"at":[107],"without":[110],"increasing":[111],"space.":[113],"It":[114],"also":[115],"reduces":[116,123],"bandwidth":[121],"designed":[136],"has":[137],"only":[138,144],"7.63":[139],"MB":[140,148],"parameters":[142],"takes":[145],"up":[146],"155.28":[147],"memory.":[150],"experiment":[153],"with":[154,159],"compared":[158],"EfficientNetV2":[161],"model,":[162],"accuracy":[164],"precision":[166],"increased":[167,173,178,184,195],"by":[168,174,179,185,196],"2%,":[169],"recall":[171],"rate":[172],"1%,":[175],"specificity":[177],"4%,":[180],"F1":[182],"score":[183],"3%,":[186],"AUC":[189],"(Area":[190],"Under":[191],"Curve)":[193],"value":[194],"2%.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}