FIELD: information technology.
SUBSTANCE: method comprises the following steps: choosing a training data set from a set of training cases using systematic data scaling and creating a classifier based on the training data set using a classification method.
EFFECT: improved classification accuracy and reduced false positive results.
15 cl, 14 dwg, 4 tbl
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| METHOD AND APPARATUS FOR AUTOMATICALLY SUMMARISING CONTENTS OF ELECTRONIC DOCUMENTS | 2012 |
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| SYSTEM AND METHOD FOR AUTOMATIC DETECTION OF ANATOMICAL POINTS IN THREE-DIMENSIONAL MEDICAL IMAGES | 2013 |
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| USE OF MACHINE LEARNING TECHNIQUES FOR EXTRACTION OF ASSOCIATION RULES IN DATASETS OF PLANTS AND ANIMALS CONTAINING MOLECULAR GENETIC MARKERS ACCOMPANIED BY CLASSIFICATION OR PREDICTION USING FEATURES CREATED BY THESE ASSOCIATION RULES | 2010 |
|
RU2607999C2 |
| DIAGNOSTIC TECHNIQUE FOR ACUTE CORONARY SYNDROME | 2020 |
|
RU2733077C1 |
| INTELLECTUAL METHOD OF DIAGNOSTICS AND DETECTION OF NEOPLASMS IN LUNGS | 2018 |
|
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| METHOD FOR SEPARATING TEXTS AND ILLUSTRATIONS IN IMAGES OF DOCUMENTS USING A DESCRIPTOR OF DOCUMENT SPECTRUM AND TWO-LEVEL CLUSTERING | 2017 |
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| METHOD FOR SCREENING PROBABILITY OF BLADDER CANCER | 2019 |
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RU2718284C1 |
