| 000 | 02847nam a22005295i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-47194-0 | ||
| 003 | DE-He213 | ||
| 005 | 20251030110916.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240108s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031471940 _9978-3-031-47194-0 |
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| 024 | 7 |
_a10.1007/978-3-031-47194-0 _2doi |
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| 050 | 4 | _aQH323.5 | |
| 072 | 7 |
_aPBT _2bicssc |
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| 072 | 7 |
_aMED090000 _2bisacsh |
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| 072 | 7 |
_aPBT _2thema |
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| 100 | 1 |
_aLarner, A. J. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _969320 |
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| 245 | 1 | 4 |
_aThe 2x2 Matrix _h[electronic resource] : _bContingency, Confusion and the Metrics of Binary Classification / _cby A. J. Larner. |
| 250 | _a2nd ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2024. |
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| 300 |
_aXVIII, 252 p. 55 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _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. | |
| 520 | _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. | ||
| 650 | 0 |
_aBiometry. _965981 |
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| 650 | 0 |
_aNeurology . _966816 |
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| 650 | 0 |
_aMedical informatics. _960693 |
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| 650 | 0 |
_aMachine learning. _955059 |
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| 650 | 1 | 4 |
_aBiostatistics. _965985 |
| 650 | 2 | 4 |
_aNeurology. _966816 |
| 650 | 2 | 4 | _aHealth Informatics. |
| 650 | 2 | 4 |
_aMachine Learning. _955059 |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031471933 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031471957 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-47194-0 |
| 912 | _aZDB-2-SME | ||
| 912 | _aZDB-2-SXM | ||
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