{"id":"https://openalex.org/W1564829520","doi":"https://doi.org/10.1109/jbhi.2015.2407157","title":"\u53d7\u4fe1\u30a2\u30f3\u30c6\u30ca\u6570\u304c\u5c11\u306a\u3044\u6761\u4ef6\u3067\u306e\u30b5\u30d6\u30ad\u30e3\u30ea\u30a2\u4f4d\u76f8\u30db\u30c3\u30d4\u30f3\u30b0\u3092\u7528\u3044\u305f MIMO-OFDM \u4f1d\u9001\u65b9\u5f0f(\u79fb\u52d5\u901a\u4fe1\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7)","display_name":"\u53d7\u4fe1\u30a2\u30f3\u30c6\u30ca\u6570\u304c\u5c11\u306a\u3044\u6761\u4ef6\u3067\u306e\u30b5\u30d6\u30ad\u30e3\u30ea\u30a2\u4f4d\u76f8\u30db\u30c3\u30d4\u30f3\u30b0\u3092\u7528\u3044\u305f MIMO-OFDM \u4f1d\u9001\u65b9\u5f0f(\u79fb\u52d5\u901a\u4fe1\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7)","publication_year":2005,"publication_date":"2005-02-23","ids":{"openalex":"https://openalex.org/W1564829520","doi":"https://doi.org/10.1109/jbhi.2015.2407157","mag":"1564829520"},"language":"en","primary_location":{"id":"mag:26960216","is_oa":false,"landing_page_url":"https://ci.nii.ac.jp/naid/110003206669","pdf_url":null,"source":{"id":"https://openalex.org/S4306559744","display_name":"\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. MW, \u30de\u30a4\u30af\u30ed\u6ce2","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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. MW, \u30de\u30a4\u30af\u30ed\u6ce2","raw_type":null},"type":"article","indexed_in":[],"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/A5082041548","display_name":"\u958b\u4eba \u6803\u539f","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u958b\u4eba \u6803\u539f","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038016669","display_name":"\u8061 \u9808\u5c71","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u8061 \u9808\u5c71","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091168735","display_name":"\u535a \u9234\u6728","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u535a \u9234\u6728","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010753566","display_name":"\u548c\u5f66 \u5e9c\u5ddd","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u548c\u5f66 \u5e9c\u5ddd","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06940015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"104","issue":"672","first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.2777999937534332,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.2777999937534332,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.2078000009059906,"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/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.08179999887943268,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.501086950302124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.501086950302124}],"mesh":[],"locations_count":3,"locations":[{"id":"mag:26960216","is_oa":false,"landing_page_url":"https://ci.nii.ac.jp/naid/110003206669","pdf_url":null,"source":{"id":"https://openalex.org/S4306559744","display_name":"\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. MW, \u30de\u30a4\u30af\u30ed\u6ce2","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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. MW, \u30de\u30a4\u30af\u30ed\u6ce2","raw_type":null},{"id":"mag:1564829520","is_oa":false,"landing_page_url":"http://ci.nii.ac.jp/naid/110003250345","pdf_url":null,"source":{"id":"https://openalex.org/S4306559739","display_name":"\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. MoMuC, \u30e2\u30d0\u30a4\u30eb\u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u901a\u4fe1","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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. MoMuC, \u30e2\u30d0\u30a4\u30eb\u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u901a\u4fe1","raw_type":null},{"id":"mag:1599993493","is_oa":false,"landing_page_url":"http://ci.nii.ac.jp/naid/110003204511","pdf_url":null,"source":{"id":"https://openalex.org/S4306559775","display_name":"\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. WBS, \u30ef\u30a4\u30c9\u30d0\u30f3\u30c9\u30b7\u30b9\u30c6\u30e0","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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. WBS, \u30ef\u30a4\u30c9\u30d0\u30f3\u30c9\u30b7\u30b9\u30c6\u30e0","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G520139855","display_name":"\u8de8\u4e91\u670d\u52a1\u5546\u7684\u7528\u6237\u6570\u636e\u786e\u5b9a\u6027\u5220\u9664\u673a\u5236\u7814\u7a76","funder_award_id":"61402109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8827855111","display_name":null,"funder_award_id":"61370078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Clinical":[0],"decision":[1,25,62,68,99],"support":[2,26,63,69,100],"system,":[3,101,120],"which":[4,102],"uses":[5],"advanced":[6],"data":[7,45,125],"mining":[8],"techniques":[9],"to":[10,54,58,106,134,155,169,177,182,204],"help":[11],"clinician":[12,104],"make":[13],"proper":[14],"decisions,":[15],"has":[16],"received":[17],"considerable":[18],"attention":[19],"recently.":[20],"The":[21],"advantages":[22],"of":[23,43,76,110,186,208],"clinical":[24,44,61,67,98],"system":[27,70,78,256],"include":[28],"not":[29,236],"only":[30],"improving":[31],"diagnosis":[32,37,243],"accuracy":[33,265],"but":[34],"also":[35,165,252],"reducing":[36],"time.":[38],"Specifically,":[39,181],"with":[40,263],"large":[41],"amounts":[42],"generated":[46],"everyday,":[47],"na\u00efve":[48,137,209],"Bayesian":[49,138,210],"classification":[50],"can":[51,131,152,257],"be":[52,132,153,237],"utilized":[53],"excavate":[55],"valuable":[56],"information":[57,84,231],"improve":[59],"a":[60,94,114,191,214,267],"system.":[64,224],"Although":[65],"the":[66,74,77,108,118,121,136,149,157,171,184,206,241],"is":[71,201,232],"quite":[72],"promising,":[73],"flourish":[75],"still":[79],"faces":[80],"many":[81],"challenges":[82],"including":[83],"security":[85],"and":[86,130,147,164,234],"privacy":[87,185,226],"concerns.":[88],"In":[89,117,245],"this":[90],"paper,":[91],"we":[92,212],"propose":[93],"new":[95,161,192],"privacy-preserving":[96,115,215,268],"patient-centric":[97],"helps":[103],"complementary":[105],"diagnose":[107],"risk":[109,159,262],"patients'":[111,123,188],"disease":[112,158,174,218,242,261],"in":[113,128,222,266],"way.":[116,269],"proposed":[119],"past":[122,187],"historical":[124,189],"are":[126],"stored":[127],"cloud":[129],"used":[133],"train":[135],"classifier":[139,151],"without":[140],"leaking":[141],"any":[142],"individual":[143],"patient":[144],"medical":[145],"data,":[146,190],"then":[148],"trained":[150],"applied":[154],"compute":[156],"for":[160],"coming":[162],"patients":[163,168],"allow":[166],"these":[167],"retrieve":[170],"top-":[172,216],"k":[173,217],"names":[175,219],"according":[176],"their":[178],"own":[179],"preferences.":[180],"protect":[183],"cryptographic":[193],"tool":[194],"called":[195],"additive":[196],"homomorphic":[197],"proxy":[198],"aggregation":[199],"scheme":[200],"designed.":[202],"Moreover,":[203],"leverage":[205],"leakage":[207],"classifier,":[211],"introduce":[213],"retrieval":[220],"protocol":[221],"our":[223,255],"Detailed":[225],"analysis":[227],"ensures":[228],"that":[229,254],"patient's":[230,260],"private":[233],"will":[235],"leaked":[238],"out":[239],"during":[240],"phase.":[244],"addition,":[246],"performance":[247],"evaluation":[248],"via":[249],"extensive":[250],"simulations":[251],"demonstrates":[253],"efficiently":[258],"calculate":[259],"high":[264]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2025-10-10T00:00:00"}
