Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis

Abstract The definition of the usefulness of the binary classifier from the point of view of reducing the a priori risk of false classification is formulated. Sufficient conditions are proposed to guarantee the utility of a diagnostic test according to this definition. The obtained conditions improv...
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Autor*in:	Zhukovska, O. A. [verfasserIn] Fainzilberg, L. S.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	binary classifier ROC curve diagnostic feature analysis and interpretation of ECG

Anmerkung:	© Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: Cybernetics and systems analysis - New York, NY [u.a.] : Consultants Bureau, 1965, 59(2023), 3 vom: Mai, Seite 439-448
Übergeordnetes Werk:	volume:59 ; year:2023 ; number:3 ; month:05 ; pages:439-448

Links:	Volltext

DOI / URN:	10.1007/s10559-023-00578-y

Katalog-ID:	SPR051748177

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520			\|a Abstract The definition of the usefulness of the binary classifier from the point of view of reducing the a priori risk of false classification is formulated. Sufficient conditions are proposed to guarantee the utility of a diagnostic test according to this definition. The obtained conditions improved the traditional ROC analysis by limiting the corresponding region of the ROC curve. The line limiting the region of the guaranteed useful test is shown to coincide with the known iso-performance line corresponding to the a priori risk level. The feasible limits of the ratio of losses from target misses and false alarms were determined, according to which a test with appropriate operational characteristics remains useful for screening a disease with a known prevalence. Based on the obtained results, the authors substantiated the efficiency of the new method of the analysis and interpretation of electrocardiograms, which is based on determining the original diagnostic feature in the phase space and enables detecting persons with a high risk of coronary heart disease in the early stages of the disease.
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912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
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912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
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allfields	10.1007/s10559-023-00578-y doi (DE-627)SPR051748177 (SPR)s10559-023-00578-y-e DE-627 ger DE-627 rakwb eng Zhukovska, O. A. verfasserin aut Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The definition of the usefulness of the binary classifier from the point of view of reducing the a priori risk of false classification is formulated. Sufficient conditions are proposed to guarantee the utility of a diagnostic test according to this definition. The obtained conditions improved the traditional ROC analysis by limiting the corresponding region of the ROC curve. The line limiting the region of the guaranteed useful test is shown to coincide with the known iso-performance line corresponding to the a priori risk level. The feasible limits of the ratio of losses from target misses and false alarms were determined, according to which a test with appropriate operational characteristics remains useful for screening a disease with a known prevalence. Based on the obtained results, the authors substantiated the efficiency of the new method of the analysis and interpretation of electrocardiograms, which is based on determining the original diagnostic feature in the phase space and enables detecting persons with a high risk of coronary heart disease in the early stages of the disease. binary classifier (dpeaa)DE-He213 ROC curve (dpeaa)DE-He213 diagnostic feature (dpeaa)DE-He213 analysis and interpretation of ECG (dpeaa)DE-He213 Fainzilberg, L. S. aut Enthalten in Cybernetics and systems analysis New York, NY [u.a.] : Consultants Bureau, 1965 59(2023), 3 vom: Mai, Seite 439-448 (DE-627)325568669 (DE-600)2037138-X 1573-8337 nnns volume:59 year:2023 number:3 month:05 pages:439-448 https://dx.doi.org/10.1007/s10559-023-00578-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 59 2023 3 05 439-448
spelling	10.1007/s10559-023-00578-y doi (DE-627)SPR051748177 (SPR)s10559-023-00578-y-e DE-627 ger DE-627 rakwb eng Zhukovska, O. A. verfasserin aut Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The definition of the usefulness of the binary classifier from the point of view of reducing the a priori risk of false classification is formulated. Sufficient conditions are proposed to guarantee the utility of a diagnostic test according to this definition. The obtained conditions improved the traditional ROC analysis by limiting the corresponding region of the ROC curve. The line limiting the region of the guaranteed useful test is shown to coincide with the known iso-performance line corresponding to the a priori risk level. The feasible limits of the ratio of losses from target misses and false alarms were determined, according to which a test with appropriate operational characteristics remains useful for screening a disease with a known prevalence. Based on the obtained results, the authors substantiated the efficiency of the new method of the analysis and interpretation of electrocardiograms, which is based on determining the original diagnostic feature in the phase space and enables detecting persons with a high risk of coronary heart disease in the early stages of the disease. binary classifier (dpeaa)DE-He213 ROC curve (dpeaa)DE-He213 diagnostic feature (dpeaa)DE-He213 analysis and interpretation of ECG (dpeaa)DE-He213 Fainzilberg, L. S. aut Enthalten in Cybernetics and systems analysis New York, NY [u.a.] : Consultants Bureau, 1965 59(2023), 3 vom: Mai, Seite 439-448 (DE-627)325568669 (DE-600)2037138-X 1573-8337 nnns volume:59 year:2023 number:3 month:05 pages:439-448 https://dx.doi.org/10.1007/s10559-023-00578-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 59 2023 3 05 439-448
allfields_unstemmed	10.1007/s10559-023-00578-y doi (DE-627)SPR051748177 (SPR)s10559-023-00578-y-e DE-627 ger DE-627 rakwb eng Zhukovska, O. A. verfasserin aut Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The definition of the usefulness of the binary classifier from the point of view of reducing the a priori risk of false classification is formulated. Sufficient conditions are proposed to guarantee the utility of a diagnostic test according to this definition. The obtained conditions improved the traditional ROC analysis by limiting the corresponding region of the ROC curve. The line limiting the region of the guaranteed useful test is shown to coincide with the known iso-performance line corresponding to the a priori risk level. The feasible limits of the ratio of losses from target misses and false alarms were determined, according to which a test with appropriate operational characteristics remains useful for screening a disease with a known prevalence. Based on the obtained results, the authors substantiated the efficiency of the new method of the analysis and interpretation of electrocardiograms, which is based on determining the original diagnostic feature in the phase space and enables detecting persons with a high risk of coronary heart disease in the early stages of the disease. binary classifier (dpeaa)DE-He213 ROC curve (dpeaa)DE-He213 diagnostic feature (dpeaa)DE-He213 analysis and interpretation of ECG (dpeaa)DE-He213 Fainzilberg, L. S. aut Enthalten in Cybernetics and systems analysis New York, NY [u.a.] : Consultants Bureau, 1965 59(2023), 3 vom: Mai, Seite 439-448 (DE-627)325568669 (DE-600)2037138-X 1573-8337 nnns volume:59 year:2023 number:3 month:05 pages:439-448 https://dx.doi.org/10.1007/s10559-023-00578-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 59 2023 3 05 439-448
allfieldsGer	10.1007/s10559-023-00578-y doi (DE-627)SPR051748177 (SPR)s10559-023-00578-y-e DE-627 ger DE-627 rakwb eng Zhukovska, O. A. verfasserin aut Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The definition of the usefulness of the binary classifier from the point of view of reducing the a priori risk of false classification is formulated. Sufficient conditions are proposed to guarantee the utility of a diagnostic test according to this definition. The obtained conditions improved the traditional ROC analysis by limiting the corresponding region of the ROC curve. The line limiting the region of the guaranteed useful test is shown to coincide with the known iso-performance line corresponding to the a priori risk level. The feasible limits of the ratio of losses from target misses and false alarms were determined, according to which a test with appropriate operational characteristics remains useful for screening a disease with a known prevalence. Based on the obtained results, the authors substantiated the efficiency of the new method of the analysis and interpretation of electrocardiograms, which is based on determining the original diagnostic feature in the phase space and enables detecting persons with a high risk of coronary heart disease in the early stages of the disease. binary classifier (dpeaa)DE-He213 ROC curve (dpeaa)DE-He213 diagnostic feature (dpeaa)DE-He213 analysis and interpretation of ECG (dpeaa)DE-He213 Fainzilberg, L. S. aut Enthalten in Cybernetics and systems analysis New York, NY [u.a.] : Consultants Bureau, 1965 59(2023), 3 vom: Mai, Seite 439-448 (DE-627)325568669 (DE-600)2037138-X 1573-8337 nnns volume:59 year:2023 number:3 month:05 pages:439-448 https://dx.doi.org/10.1007/s10559-023-00578-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 59 2023 3 05 439-448
allfieldsSound	10.1007/s10559-023-00578-y doi (DE-627)SPR051748177 (SPR)s10559-023-00578-y-e DE-627 ger DE-627 rakwb eng Zhukovska, O. A. verfasserin aut Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The definition of the usefulness of the binary classifier from the point of view of reducing the a priori risk of false classification is formulated. Sufficient conditions are proposed to guarantee the utility of a diagnostic test according to this definition. The obtained conditions improved the traditional ROC analysis by limiting the corresponding region of the ROC curve. The line limiting the region of the guaranteed useful test is shown to coincide with the known iso-performance line corresponding to the a priori risk level. The feasible limits of the ratio of losses from target misses and false alarms were determined, according to which a test with appropriate operational characteristics remains useful for screening a disease with a known prevalence. Based on the obtained results, the authors substantiated the efficiency of the new method of the analysis and interpretation of electrocardiograms, which is based on determining the original diagnostic feature in the phase space and enables detecting persons with a high risk of coronary heart disease in the early stages of the disease. binary classifier (dpeaa)DE-He213 ROC curve (dpeaa)DE-He213 diagnostic feature (dpeaa)DE-He213 analysis and interpretation of ECG (dpeaa)DE-He213 Fainzilberg, L. S. aut Enthalten in Cybernetics and systems analysis New York, NY [u.a.] : Consultants Bureau, 1965 59(2023), 3 vom: Mai, Seite 439-448 (DE-627)325568669 (DE-600)2037138-X 1573-8337 nnns volume:59 year:2023 number:3 month:05 pages:439-448 https://dx.doi.org/10.1007/s10559-023-00578-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 59 2023 3 05 439-448
language	English
source	Enthalten in Cybernetics and systems analysis 59(2023), 3 vom: Mai, Seite 439-448 volume:59 year:2023 number:3 month:05 pages:439-448
sourceStr	Enthalten in Cybernetics and systems analysis 59(2023), 3 vom: Mai, Seite 439-448 volume:59 year:2023 number:3 month:05 pages:439-448
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	binary classifier ROC curve diagnostic feature analysis and interpretation of ECG
isfreeaccess_bool	false
container_title	Cybernetics and systems analysis
authorswithroles_txt_mv	Zhukovska, O. A. @@aut@@ Fainzilberg, L. S. @@aut@@
publishDateDaySort_date	2023-05-01T00:00:00Z
hierarchy_top_id	325568669
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author	Zhukovska, O. A.
spellingShingle	Zhukovska, O. A. misc binary classifier misc ROC curve misc diagnostic feature misc analysis and interpretation of ECG Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis
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topic_title	Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis binary classifier (dpeaa)DE-He213 ROC curve (dpeaa)DE-He213 diagnostic feature (dpeaa)DE-He213 analysis and interpretation of ECG (dpeaa)DE-He213
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title	Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis
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title_full	Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis
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title_sort	evaluating the usefulness of binary classifier based on enhanced roc analysis
title_auth	Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis
abstract	Abstract The definition of the usefulness of the binary classifier from the point of view of reducing the a priori risk of false classification is formulated. Sufficient conditions are proposed to guarantee the utility of a diagnostic test according to this definition. The obtained conditions improved the traditional ROC analysis by limiting the corresponding region of the ROC curve. The line limiting the region of the guaranteed useful test is shown to coincide with the known iso-performance line corresponding to the a priori risk level. The feasible limits of the ratio of losses from target misses and false alarms were determined, according to which a test with appropriate operational characteristics remains useful for screening a disease with a known prevalence. Based on the obtained results, the authors substantiated the efficiency of the new method of the analysis and interpretation of electrocardiograms, which is based on determining the original diagnostic feature in the phase space and enables detecting persons with a high risk of coronary heart disease in the early stages of the disease. © Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Abstract The definition of the usefulness of the binary classifier from the point of view of reducing the a priori risk of false classification is formulated. Sufficient conditions are proposed to guarantee the utility of a diagnostic test according to this definition. The obtained conditions improved the traditional ROC analysis by limiting the corresponding region of the ROC curve. The line limiting the region of the guaranteed useful test is shown to coincide with the known iso-performance line corresponding to the a priori risk level. The feasible limits of the ratio of losses from target misses and false alarms were determined, according to which a test with appropriate operational characteristics remains useful for screening a disease with a known prevalence. Based on the obtained results, the authors substantiated the efficiency of the new method of the analysis and interpretation of electrocardiograms, which is based on determining the original diagnostic feature in the phase space and enables detecting persons with a high risk of coronary heart disease in the early stages of the disease. © Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Abstract The definition of the usefulness of the binary classifier from the point of view of reducing the a priori risk of false classification is formulated. Sufficient conditions are proposed to guarantee the utility of a diagnostic test according to this definition. The obtained conditions improved the traditional ROC analysis by limiting the corresponding region of the ROC curve. The line limiting the region of the guaranteed useful test is shown to coincide with the known iso-performance line corresponding to the a priori risk level. The feasible limits of the ratio of losses from target misses and false alarms were determined, according to which a test with appropriate operational characteristics remains useful for screening a disease with a known prevalence. Based on the obtained results, the authors substantiated the efficiency of the new method of the analysis and interpretation of electrocardiograms, which is based on determining the original diagnostic feature in the phase space and enables detecting persons with a high risk of coronary heart disease in the early stages of the disease. © Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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title_short	Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis
url	https://dx.doi.org/10.1007/s10559-023-00578-y
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doi_str	10.1007/s10559-023-00578-y
up_date	2024-07-03T23:35:00.013Z
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A.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The definition of the usefulness of the binary classifier from the point of view of reducing the a priori risk of false classification is formulated. Sufficient conditions are proposed to guarantee the utility of a diagnostic test according to this definition. The obtained conditions improved the traditional ROC analysis by limiting the corresponding region of the ROC curve. The line limiting the region of the guaranteed useful test is shown to coincide with the known iso-performance line corresponding to the a priori risk level. The feasible limits of the ratio of losses from target misses and false alarms were determined, according to which a test with appropriate operational characteristics remains useful for screening a disease with a known prevalence. Based on the obtained results, the authors substantiated the efficiency of the new method of the analysis and interpretation of electrocardiograms, which is based on determining the original diagnostic feature in the phase space and enables detecting persons with a high risk of coronary heart disease in the early stages of the disease.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">binary classifier</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ROC curve</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">diagnostic feature</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">analysis and interpretation of ECG</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fainzilberg, L. 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