LEADER 00840nam0-2200289 --450 001 9910254459403321 005 20180208131534.0 010 $a978-88-372-2436-3 020 $aIT$b2010-8760 100 $a20180208d2010----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $a 001yy 200 1 $a<>processo a Galileo Galilei$eil falso e la sua prova$fVittorio Frajese 210 $aBrescia$cMorcelliana$d2010 215 $a109 p.$cill.$d21 cm 225 1 $aStoria$v41 610 0 $aGalilei, Galileo$aProcesso 676 $a520.92$v19$zita 700 1$aFrajese,$bVittorio$f<1957- >$0164460 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910254459403321 952 $aCOLLEZ. 2292 (41)$b2041/2017$fFSPBC 959 $aFSPBC 996 $aProcesso a Galileo Galilei$91110916 997 $aUNINA LEADER 02730nam 22006135 450 001 9910799487003321 005 20240702112955.0 010 $a9783031471940 010 $a3031471946 024 7 $a10.1007/978-3-031-47194-0 035 $a(CKB)29551225900041 035 $a(MiAaPQ)EBC31060364 035 $a(Au-PeEL)EBL31060364 035 $a(DE-He213)978-3-031-47194-0 035 $a(OCoLC)1417196090 035 $a(EXLCZ)9929551225900041 100 $a20240108d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe 2x2 Matrix $eContingency, Confusion and the Metrics of Binary Classification /$fby A. J. Larner 205 $a2nd ed. 2024. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2024. 215 $a1 online resource (262 pages) 311 08$a9783031471933 327 $aIntroduction -- Paired measures -- Paired complementary measures -- Unitary measures -- Number needed (reciprocal) measures and their combinations as likelihoods -- Quality (Q) measures -- Graphing methods -- Other measures, other tables -- Classification of metrics of binary classification. 330 $aThis book describes, extends, and illustrates the metrics of binary classification through worked examples. Worked examples based on pragmatic test accuracy study data are used in chapters to illustrate relevance to day-to-day clinical practice. Readers will gain an understanding of sensitivity and specificity and predictive values along with many other parameters. The contents are highly structured, and the use of worked examples facilitates understanding and interpretation. This book is a resource for clinicians in any discipline who are involved in the performance or assessment of test accuracy studies and professionals in the disciplines of machine learning or informatics wishing to gain insight into clinical applications of 2x2 tables. 606 $aBiometry 606 $aNeurology 606 $aMedical informatics 606 $aMachine learning 606 $aBiostatistics 606 $aNeurology 606 $aHealth Informatics 606 $aMachine Learning 615 0$aBiometry. 615 0$aNeurology. 615 0$aMedical informatics. 615 0$aMachine learning. 615 14$aBiostatistics. 615 24$aNeurology. 615 24$aHealth Informatics. 615 24$aMachine Learning. 676 $a570.15195 700 $aLarner$b A. J$0782674 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910799487003321 996 $aThe 2x2 Matrix$92584186 997 $aUNINA