{"id":"https://openalex.org/W4409076569","doi":"https://doi.org/10.1109/jiot.2025.3556840","title":"Deep-Reinforcement-Learning-Driven Patient State Analysis and Resource Management in Near-Field IoE Healthcare Networks","display_name":"Deep-Reinforcement-Learning-Driven Patient State Analysis and Resource Management in Near-Field IoE Healthcare Networks","publication_year":2025,"publication_date":"2025-04-01","ids":{"openalex":"https://openalex.org/W4409076569","doi":"https://doi.org/10.1109/jiot.2025.3556840"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3556840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3556840","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100325266","display_name":"Guan Wang","orcid":"https://orcid.org/0000-0001-5494-1648"},"institutions":[{"id":"https://openalex.org/I85430964","display_name":"Jinzhou Medical University","ror":"https://ror.org/02yd1yr68","country_code":"CN","type":"education","lineage":["https://openalex.org/I85430964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Wang","raw_affiliation_strings":["School of Basic Medical Sciences, Jinzhou Medical University, Jinzhou, China","Jinzhou Medical University, Jinzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Basic Medical Sciences, Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]},{"raw_affiliation_string":"Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059580100","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0002-0438-6006"},"institutions":[{"id":"https://openalex.org/I85430964","display_name":"Jinzhou Medical University","ror":"https://ror.org/02yd1yr68","country_code":"CN","type":"education","lineage":["https://openalex.org/I85430964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["School of Basic Medical Sciences, Jinzhou Medical University, Jinzhou, China","Jinzhou Medical University, Jinzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0438-6006","affiliations":[{"raw_affiliation_string":"School of Basic Medical Sciences, Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]},{"raw_affiliation_string":"Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024388252","display_name":"Yanlu Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I85430964","display_name":"Jinzhou Medical University","ror":"https://ror.org/02yd1yr68","country_code":"CN","type":"education","lineage":["https://openalex.org/I85430964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanlu Wei","raw_affiliation_strings":["Liaoning Technology and Engineering Center for Tumor Immunology and Molecular Theranostics, Collaborative Innovation Center for Age-related Disease, and Life Science Institute, Jinzhou Medical University, Jinzhou, China","Jinzhou Medical University, Jinzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Technology and Engineering Center for Tumor Immunology and Molecular Theranostics, Collaborative Innovation Center for Age-related Disease, and Life Science Institute, Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]},{"raw_affiliation_string":"Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390514","display_name":"Cong Wang","orcid":"https://orcid.org/0000-0003-0547-315X"},"institutions":[{"id":"https://openalex.org/I85430964","display_name":"Jinzhou Medical University","ror":"https://ror.org/02yd1yr68","country_code":"CN","type":"education","lineage":["https://openalex.org/I85430964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Wang","raw_affiliation_strings":["Media Center, Jinzhou Medical University, Jinzhou, China","Jinzhou Medical University, Jinzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Media Center, Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]},{"raw_affiliation_string":"Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633717","display_name":"Kunfang Li","orcid":"https://orcid.org/0000-0001-9650-3590"},"institutions":[{"id":"https://openalex.org/I85430964","display_name":"Jinzhou Medical University","ror":"https://ror.org/02yd1yr68","country_code":"CN","type":"education","lineage":["https://openalex.org/I85430964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunfang Li","raw_affiliation_strings":["School of Basic Medical Sciences, Jinzhou Medical University, Jinzhou, China","Jinzhou Medical University, Jinzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Basic Medical Sciences, Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]},{"raw_affiliation_string":"Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046571602","display_name":"Chuang Feng","orcid":"https://orcid.org/0009-0009-5232-2283"},"institutions":[{"id":"https://openalex.org/I85430964","display_name":"Jinzhou Medical University","ror":"https://ror.org/02yd1yr68","country_code":"CN","type":"education","lineage":["https://openalex.org/I85430964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Feng","raw_affiliation_strings":["School of Basic Medical Sciences, Jinzhou Medical University, Jinzhou, China","Jinzhou Medical University, Jinzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-5232-2283","affiliations":[{"raw_affiliation_string":"School of Basic Medical Sciences, Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]},{"raw_affiliation_string":"Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I85430964"],"apc_list":null,"apc_paid":null,"fwci":0.9389,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.736769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":"13","first_page":"22647","last_page":"22657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.8485000133514404,"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":0.8485000133514404,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7780119180679321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7010193467140198},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5956510305404663},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.5306113362312317},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.440976083278656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4218141734600067},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.26131144165992737}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7780119180679321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7010193467140198},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5956510305404663},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.5306113362312317},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.440976083278656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4218141734600067},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.26131144165992737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3556840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3556840","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2948432982","https://openalex.org/W2973141420","https://openalex.org/W3185681649","https://openalex.org/W3215607949","https://openalex.org/W4205597599","https://openalex.org/W4221080624","https://openalex.org/W4286206354","https://openalex.org/W4293205784","https://openalex.org/W4293767720","https://openalex.org/W4297097192","https://openalex.org/W4309030599","https://openalex.org/W4309078358","https://openalex.org/W4309720022","https://openalex.org/W4320917975","https://openalex.org/W4362500618","https://openalex.org/W4365142343","https://openalex.org/W4375928921","https://openalex.org/W4380520376","https://openalex.org/W4385350672","https://openalex.org/W4386761191","https://openalex.org/W4388234013","https://openalex.org/W4388579645","https://openalex.org/W4389352558","https://openalex.org/W4391876780","https://openalex.org/W4395039471","https://openalex.org/W4399744618","https://openalex.org/W4401360770","https://openalex.org/W4402125734","https://openalex.org/W4402435485","https://openalex.org/W4402479852","https://openalex.org/W4404031727","https://openalex.org/W6784034564"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2031695474","https://openalex.org/W2586732548","https://openalex.org/W2964765435"],"abstract_inverted_index":{"Integrating":[0],"Internet":[1],"of":[2,132,158],"Everything":[3],"(IoE)":[4],"technologies":[5],"with":[6,51,65,96],"near-field":[7],"(NF)":[8],"communication":[9,103],"has":[10],"revolutionized":[11],"healthcare":[12,28,82],"monitoring":[13,36,107],"systems,":[14],"offering":[15],"unprecedented":[16],"opportunities":[17],"for":[18,81],"precise":[19,130],"patient":[20,35,63,93,126,170],"state":[21,94,127,171],"tracking":[22,177],"and":[23,55,109,124,164,197],"resource":[24,83,110,151,188],"optimization.":[25],"However,":[26],"managing":[27],"IoE":[29,87],"resources":[30],"efficiently":[31],"while":[32,149],"maintaining":[33],"high-quality":[34],"in":[37,44,85,162,208],"NF":[38,102,159],"environments":[39],"presents":[40],"significant":[41],"challenges,":[42],"particularly":[43],"multipatient":[45,165],"scenarios":[46],"where":[47],"traditional":[48],"approaches":[49],"struggle":[50],"continuous":[52],"control":[53],"requirements":[54],"high-dimensional":[56],"decision":[57],"spaces.":[58],"This":[59],"article":[60],"proposes":[61],"probabilistic":[62,92,120],"modeling":[64,95],"twin":[66],"delayed":[67],"deep":[68],"deterministic":[69],"policy":[70],"gradient":[71],"using":[72],"Gaussian":[73,115,138],"Wasserstein":[74,116,139],"distance":[75,117,140],"(PPM-TD3-GWD),":[76],"a":[77],"novel":[78],"deep-reinforcement-learning":[79],"framework":[80,113],"management":[84],"NF-enabled":[86],"networks.":[88],"Our":[89],"approach":[90],"combines":[91],"advanced":[97],"reinforcement":[98],"learning":[99],"techniques,":[100],"leveraging":[101],"characteristics":[104,157],"to":[105,118,145,183,193,206],"optimize":[106],"accuracy":[108],"efficiency.":[111],"The":[112],"employs":[114],"measure":[119],"differences":[121],"between":[122],"prior":[123],"posterior":[125],"distributions,":[128],"enabling":[129],"quantification":[131],"information":[133],"gain":[134],"from":[135,180,191],"sensor":[136,143],"measurements.":[137],"computation":[141],"guides":[142],"positioning":[144],"maximize":[146],"measurement":[147],"informativeness":[148],"minimizing":[150],"consumption":[152],"by":[153],"incorporating":[154],"spherical":[155],"wavefront":[156],"communication.":[160],"Experiments":[161],"single-patient":[163],"scenarios,":[166],"including":[167],"detailed":[168],"diabetes":[169],"analysis,":[172],"PPM-TD3-GWD":[173],"demonstrates":[174],"concrete":[175],"improvements:":[176],"error":[178],"decreased":[179],"0.5091":[181],"mg/dL":[182,185],"0.3842":[184],"(24.53%":[186],"reduction),":[187],"efficiency":[189],"improved":[190],"72.8%":[192],"85.4%":[194],"(17.40%":[195],"enhancement),":[196],"critical":[198],"glucose":[199],"event":[200],"detection":[201],"rate":[202],"reached":[203],"95%":[204],"compared":[205],"70%":[207],"baseline":[209],"approaches.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
