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Performance Evaluation of Novel Diagnostic Tests (650 and 588 Patients)

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Machine Learning in Medicine – A Complete Overview

Abstract

Both logistic regression and c-statistics can be used to evaluate the performance of novel diagnostic tests (see also Machine learning in medicine part two, Chap. 6, pp 45–52, Logistic regression for assessment of novel diagnostic tests against controls, Springer Heidelberg Germany, 2013, from the same authors). This chapter is to assess whether one method can outperform the other.

This chapter was previously published in “Machine learning in medicine-cookbook 3” as Chap. 8, 2014.

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Cleophas, T.J., Zwinderman, A.H. (2020). Performance Evaluation of Novel Diagnostic Tests (650 and 588 Patients). In: Machine Learning in Medicine – A Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-030-33970-8_42

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