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About the Evaluation of the Effectiveness of Various Methods of Diagnosis, Prediction and Classification Presented in the Literature

机译:关于文献中提出的各种诊断,预测和分类方法的有效性评估

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The literature presents a large number of very different ways to diagnose, predict and classify. In support of their usefulness and effectiveness, various parameters are often used, from a large number of them, which are not always necessary and sufficient, since they do not unequivocally characterize efficiency. The purpose of this work was to build a theory in which the characteristic parameters would be clearly defined, necessary and sufficient to identify and evaluate the effectiveness of the method itself and the databases to which this method was applied. On the basis of an objective analysis of all known parameters characterizing the effectiveness of various methods of diagnosing and predicting, necessary and sufficient conditions were determined for them that ensure the unambiguity of the conducted assessments of their effectiveness. Some examples have shown their effectiveness. Full unambiguity and certainty in the reflection of the effectiveness of any method of diagnosis and prediction is achieved only when all the parameters characterizing it are interconnected by one equation. The paper presents a set of such equations, from which it follows that the uniqueness of the evaluation of the effectiveness of any method is achieved only when it is reflected by a triad of characteristic basis parameters. Only such a triad of efficiency parameters, interconnected by characteristic equations obtained in theory, that is, in a deterministic way, can one achieve an unambiguous estimate of efficiency and its interpretation. It is important that the parameters characterizing the data arrays for which one or another method is tested can also act as basic parameters. On the basis of the equations obtained in the work, by means of the triad of basic parameters, all other parameters are determined, diversifying the efficiency. One of these triads includes sensitivity, specificity and accuracy, which in this combination uniquely determine efficiency. In this paper, from these positions, data of some works of recent years are analyzed.
机译:文献提出了许多非常不同的诊断,预测和分类方法。为了支持其有用性和有效性,经常使用大量的各种参数,这些参数并非总是必需和充分的,因为它们不能明确地表示效率。这项工作的目的是建立一种理论,在该理论中将明确定义,必要和足够的特征参数,以识别和评估方法本身以及应用该方法的数据库的有效性。在对所有表征各种诊断和预测方法有效性的已知参数进行客观分析的基础上,确定了必要和充分的条件,以确保对其有效性进行明确评估。一些例子表明了它们的有效性。只有当表征该诊断和预测方法的所有参数都由一个方程式相互联系时,才能完全明确和肯定地反映出该方法的有效性。本文提出了一组这样的方程式,由此得出,只有当方法的特征基础参数三元组反映出来时,才能实现对任何方法的有效性进行评估的唯一性。只有通过理论上获得的特性方程式相互关联的效率参数三联体,即以确定性方式,才能实现效率及其解释的明确估算。重要的是表征用于测试一种或另一种方法的数据阵列的参数也可以充当基本参数。根据工作中获得的方程式,通过基本参数的三元组,确定所有其他参数,从而提高了效率。这些三联症之一包括敏感性,特异性和准确性,它们共同决定了效率。本文从这些立场出发,对近年来的一些作品进行了分析。

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