{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wu X"],"funding":["NIA NIH HHS","NIMH NIH HHS"],"pagination":["173-80"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4085147"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["10(1)"],"pubmed_abstract":["Given a single index, the receiver operational characteristic (ROC) curve analysis is routinely utilized for characterizing performances in distinguishing two conditions/groups in terms of sensitivity and specificity. Given the availability of multiple data sources (referred to as multi-indices), such as multimodal neuroimaging data sets, cognitive tests, and clinical ratings and genomic data in Alzheimer’s disease (AD) studies, the single-index-based ROC underutilizes all available information. For a long time, a number of algorithmic/analytic approaches combining multiple indices have been widely used to simultaneously incorporate multiple sources. In this study, we propose an alternative for combining multiple indices using logical operations, such as “AND,” “OR,” and “at least n” (wher"],"journal":["IEEE/ACM transactions on computational biology and bioinformatics"],"pubmed_title":["The receiver operational characteristic for binary classification with multiple indices and its application to the neuroimaging study of Alzheimer's disease."],"pmcid":["PMC4085147"],"funding_grant_id":["P30 AG013846","P50 AG008702","P30AG19610","R01 MH057899","P30 AG019610","R01AG031581-31","R01 AG031581","R01MH057899"],"pubmed_authors":["Crawford K","Carmichael O","Lee VM","Taylor JL","Grossman H","Brewer J","Rosen HJ","Lane B","Chertkow H","DeCarli C","Leon S","Reiman E","Lord JL","Montine T","Villanueva-Meyer J","Wolk D","Taylor-Reinwald L","Petrella JR","Mathis C","Rachinsky I","Frank R","Duara R","Watkins F","Reeder S","de Leon MJ","Celmins D","Doraiswamy P","Wu CK","Pawluczyk S","Romirowsky A","Fletcher E","Lah JJ","Hsiung GY","DeVous M","Munic D","Salloway S","Karlawish JH","Mintun MA","Turner RS","Capote H","Neu S","Feldman H","Johnson KA","Lee TY","Bernick C","Preda A","Asthana S","Aisen P","Hosein C","Ott BR","Burns JM","MacAvoy MG","Quinn J","Smith CD","Mintzer J","Roberts P","Swerdlow RH","Tremont G","Koeppe RA","Varon D","Jicha G","Reynolds B","Kowall N","Green RC","Reiman EM","deToledo-Morrell L","Li J","Chen K","Brand C","Silverman DH","Bell KL","Carlsson CM","Zimmerman EA","Fleisher A","Sadowsky C","Anderson HS","Porsteinsson AP","Miller BL","Johnson K","Johnson N","Schuff N","Johnson S","Diaz-Arrastia R","Rusinek H","Martinez W","Kertesz A","Honig LS","Shah RC","Lerner A","Morris J","Kerwin D","Lind B","Villena T","Johnson H","Jagust W","Saykin AJ","Gamst A","Dale A","Heidebrink JL","Gessert D","Rosen A","Scharre DW","Albert M","Anderson K","Alzheimer's Disease Neuroimaging Initiative","Apostolova L","Potkin SG","Thompson P","Bandy D","Belden C","Kittur S","Liu E","Schwartz ES","Finger E","Petersen R","Shen L","Kornak J","Budson AE","Clark D","Tinklenberg J","Onyike C","Fox N","Vanderswag H","Coleman R","Martin K","Sather T","Frey M","Spann BM","Stern Y","Bartzokis G","Kaye J","Sabbagh M","Bartha R","Mitsis E","Norbash A","Trost D","Walter S","Kielb S","Jacobson S","Bernstein M","Killiany R","Protas H","Molchan S","Kataki M","Cairns NJ","Quiceno M","Drost D","Oakley M","Toga AW","Santulli RB","Felmlee J","Shaw L","Hake AM","Foroud TM","Yesavage J","Schneider S","Weiner M","Snyder PJ","Blank K","Arnold SE","Sperling RA","Carson RE","Hudson L","Black S","Rainka M","Caldwell C","Pearlson GD","Farlow MR","Mudge B","Beckett L","Carroll M","Jack CR","Herring S","Lopez OL","Mesulam MM","Lipowski K","Graff-Radford NR","Dolen S","Wolday S","Foster N","Ogrocki P","van Dyck CH","Querfurth H","Wu X","Yao L","Mulnard RA","Stefanovic B","Kachaturian Z","Malloy P","Griffith R","Bates V","Lu PH","Garg P","Mc-Adams-Ortiz C","Marson D","Glodzik L","Simpson DM","Williamson JD","Korecka M","Harvey D","De Santi S","Correia S","Womack K","Ayutyanont N","Hardy P","Martin-Cook K","Ismail M","Mathews D","Matthews BR","Ances B","Doody RS","Chowdhury M","Brown AD","Alexander G","Potkin S","Borrie M","Bergman H","Olichney J","Rogers J","Thai G","Makino KM","King R","Cellar JS","Flynn Longmire C","Bwayo SK","Schneider LS","Spicer K","Levey AI","Obisesan TO","Trojanowki JQ","Marshall G","Parfitt F","Donohue M","Morris JC","Johnson PL","Nguyen D","Assaly M","Tariot P","Goldstein BS","Sink KM","Thomas RG"],"additional_accession":[]},"is_claimable":false,"name":"The receiver operational characteristic for binary classification with multiple indices and its application to the neuroimaging study of Alzheimer's disease.","description":"Given a single index, the receiver operational characteristic (ROC) curve analysis is routinely utilized for characterizing performances in distinguishing two conditions/groups in terms of sensitivity and specificity. Given the availability of multiple data sources (referred to as multi-indices), such as multimodal neuroimaging data sets, cognitive tests, and clinical ratings and genomic data in Alzheimer’s disease (AD) studies, the single-index-based ROC underutilizes all available information. For a long time, a number of algorithmic/analytic approaches combining multiple indices have been widely used to simultaneously incorporate multiple sources. In this study, we propose an alternative for combining multiple indices using logical operations, such as “AND,” “OR,” and “at least n” (wher","dates":{"release":"2013-01-01T00:00:00Z","publication":"2013 Jan-Feb","modification":"2025-05-31T22:55:46.179Z","creation":"2025-05-31T22:55:46.179Z"},"accession":"S-EPMC4085147","cross_references":{"pubmed":["23702553"],"doi":["10.1109/TCBB.2012.141","10.1109/tcbb.2012.141"]}}