The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models

The Concordance Index (C-index) is a commonly used metric in Survival Analysis for evaluating the performance of a prediction model. In this paper, we propose a decomposition of the C-index into a weighted harmonic mean of two quantities: one for ranking observed events versus other observed events,...

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Vydané v:	Artificial intelligence in medicine Ročník 148; s. 102781
Hlavní autori:	Alabdallah, Abdallah, Ohlsson, Mattias, Pashami, Sepideh, Rögnvaldsson, Thorsteinn
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.02.2024
Predmet:	artificial neural network Bioinformatics Computer Concordance Index Deep learning Encoder-decoder Evaluation Metric Evaluation metrics Fine-grained analysis Forecasting Learning systems Machine Learning Matematik Mathematical Sciences Natural Sciences Naturvetenskap Neural Networks Prediction modelling Probability Theory and Statistics Sannolikhetsteori och statistik Signal encoding Survival Analysis Survival prediction Variational Encoder-Decoder Weighted harmonic means Survival analysis Variational encoder–decoder Evaluation metric Concordance Index
ISSN:	0933-3657, 1873-2860, 1873-2860
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