{"id":"https://openalex.org/W4404037160","doi":"https://doi.org/10.1109/mlsp58920.2024.10734829","title":"Calibration Methods for Alzheimer Disease Detection","display_name":"Calibration Methods for Alzheimer Disease Detection","publication_year":2024,"publication_date":"2024-09-22","ids":{"openalex":"https://openalex.org/W4404037160","doi":"https://doi.org/10.1109/mlsp58920.2024.10734829"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp58920.2024.10734829","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp58920.2024.10734829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-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/A5095094725","display_name":"Lorena Gallego-Vi\u00f1ar\u00e1s","orcid":"https://orcid.org/0009-0001-0676-8390"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Lorena Gallego-Vi\u00f1ar\u00e1s","raw_affiliation_strings":["Universidad Carlos III de Madrid,Bioengineering Department,Spain,ES28911"],"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid,Bioengineering Department,Spain,ES28911","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095094727","display_name":"Anna Michela-Gaeta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158692","display_name":"Hospital Universitario Severo Ochoa","ror":"https://ror.org/05s3h8004","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210139293","https://openalex.org/I4210158692"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Anna Michela-Gaeta","raw_affiliation_strings":["Hospital Universitario Severo Ochoa,Department of Pulmonology,Lcganés,spain,ES28914"],"affiliations":[{"raw_affiliation_string":"Hospital Universitario Severo Ochoa,Department of Pulmonology,Lcganés,spain,ES28914","institution_ids":["https://openalex.org/I4210158692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045533547","display_name":"Gerard Pi\u00f1ol\u2010Ripoll","orcid":"https://orcid.org/0000-0002-4495-2113"},"institutions":[{"id":"https://openalex.org/I4210133944","display_name":"Biomedical Research Institute of Lleida","ror":"https://ror.org/03mfyme49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210133944","https://openalex.org/I4387153040"]},{"id":"https://openalex.org/I4210089386","display_name":"Hospital Universitari de Santa Maria","ror":"https://ror.org/006gamx40","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210089386"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gerard Pinol-Ripoll","raw_affiliation_strings":["IRBLleida-Hospital Universitari Santa Maria Lleida,Spain,ES25198"],"affiliations":[{"raw_affiliation_string":"IRBLleida-Hospital Universitari Santa Maria Lleida,Spain,ES25198","institution_ids":["https://openalex.org/I4210089386","https://openalex.org/I4210133944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046990649","display_name":"Ferr\u00e1n Barb\u00e9","orcid":"https://orcid.org/0000-0002-2340-8928"},"institutions":[{"id":"https://openalex.org/I4210089386","display_name":"Hospital Universitari de Santa Maria","ror":"https://ror.org/006gamx40","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210089386"]},{"id":"https://openalex.org/I4210133944","display_name":"Biomedical Research Institute of Lleida","ror":"https://ror.org/03mfyme49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210133944","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ferr\u00e1n Barb\u00e9","raw_affiliation_strings":["IRBLleida-Hospital Universitari Santa Maria Lleida,Spain,ES25198"],"affiliations":[{"raw_affiliation_string":"IRBLleida-Hospital Universitari Santa Maria Lleida,Spain,ES25198","institution_ids":["https://openalex.org/I4210089386","https://openalex.org/I4210133944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066828138","display_name":"Pablo M. Olmos","orcid":"https://orcid.org/0000-0003-4276-5178"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pablo M. Olmos","raw_affiliation_strings":["Universidad Carlos III de Madrid,Signal Processing Group (GTS),Spain,ES28911"],"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid,Signal Processing Group (GTS),Spain,ES28911","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022934126","display_name":"Arrate Mu\u00f1oz\u2010Barrutia","orcid":"https://orcid.org/0000-0002-1573-1661"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Arrate Mu\u00f1oz-Barrutia","raw_affiliation_strings":["Universidad Carlos III de Madrid,Bioengineering Department,Spain,ES28911"],"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid,Bioengineering Department,Spain,ES28911","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5095094725"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27176698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.4661000072956085,"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":0.4661000072956085,"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":0.39739999175071716,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.3887999951839447,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/calibration","display_name":"Calibration","score":0.6597222685813904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6128424406051636},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4157394766807556},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21702635288238525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11226850748062134},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0787804126739502},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07790020108222961}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6597222685813904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6128424406051636},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4157394766807556},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21702635288238525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11226850748062134},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0787804126739502},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07790020108222961}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp58920.2024.10734829","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp58920.2024.10734829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1504504618","display_name":null,"funder_award_id":"IND2022/TIC-23550","funder_id":"https://openalex.org/F4320313831","funder_display_name":"Comunidad de Madrid"},{"id":"https://openalex.org/G2648084224","display_name":null,"funder_award_id":"PID2019-109820RB-I00","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G3205713120","display_name":null,"funder_award_id":"PID2021-1231820B-I00,MCIN/AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320313831","display_name":"Comunidad de Madrid","ror":null},{"id":"https://openalex.org/F4320315062","display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","ror":null},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W1583837637","https://openalex.org/W1598033630","https://openalex.org/W1999670157","https://openalex.org/W2004846457","https://openalex.org/W2012942264","https://openalex.org/W2020635321","https://openalex.org/W2042050378","https://openalex.org/W2048665270","https://openalex.org/W2098824882","https://openalex.org/W2115920634","https://openalex.org/W2172894528","https://openalex.org/W2254249950","https://openalex.org/W2744240393","https://openalex.org/W2804158148","https://openalex.org/W2923345718","https://openalex.org/W2963238274","https://openalex.org/W2970121940","https://openalex.org/W2996417078","https://openalex.org/W3044656331","https://openalex.org/W3084430883","https://openalex.org/W3134168310","https://openalex.org/W3151084972","https://openalex.org/W4386954777","https://openalex.org/W4394007609","https://openalex.org/W6635717444","https://openalex.org/W6730042731","https://openalex.org/W6739651123"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Alzheimer's":[0],"disease":[1],"(AD)":[2],"often":[3],"manifests":[4],"alongside":[5],"sleep":[6,11,82],"disorders,":[7],"with":[8,106],"disruptions":[9],"in":[10,52,135,144],"patterns":[12],"preceding":[13],"the":[14,27,40,60,77,91,111,129],"onset":[15],"of":[16,29,43,62,88,97,132],"Mild":[17],"Cognitive":[18],"Impairment":[19],"(MCI)":[20],"and":[21,127,138],"early-stage":[22],"AD.":[23,44],"This":[24,70],"research":[25],"explores":[26],"potential":[28],"leveraging":[30],"sleep-related":[31],"electroencephalography":[32],"(EEG)":[33],"signals,":[34],"obtained":[35],"via":[36],"polysomnography":[37],"(PSG),":[38],"for":[39,56,67,76,141],"early":[41],"detection":[42,121],"While":[45],"Deep":[46,124],"Neural":[47],"Networks":[48],"(DNNs)":[49],"show":[50],"promise":[51],"analyzing":[53],"EEG":[54],"signals":[55],"AD":[57,120],"detection,":[58],"ensuring":[59,136],"calibration":[61,74,133],"model":[63,79],"predictions":[64,140],"is":[65,100],"essential":[66],"clinical":[68,142],"relevance.":[69],"study":[71],"investigates":[72],"post-processing":[73,104],"methods":[75],"XCM":[78],"across":[80],"different":[81],"stages.":[83],"Despite":[84],"achieving":[85],"accuracy":[86],"metrics":[87],"around":[89],"94%,":[90],"results":[92],"reveal":[93],"misaligned":[94],"confidences.":[95],"Calibration":[96],"confidence":[98],"models":[99],"enhanced":[101],"through":[102],"several":[103],"approaches,":[105],"histogram":[107],"binning":[108],"emerging":[109],"as":[110],"most":[112],"effective":[113],"method.":[114],"These":[115],"findings":[116],"contribute":[117],"to":[118],"advancing":[119],"using":[122],"innovative":[123],"Learning":[125],"approaches":[126],"emphasize":[128],"critical":[130],"role":[131],"studies":[134],"accurate":[137],"reliable":[139],"decision-making":[143],"diagnosis.":[145]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}