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https://hdl.handle.net/1822/52773
Título: | Performance Evaluation of Two Software for Analysis Through ROC Curves: Comp2ROC vs SPSS |
Autor(es): | Coelho, Sara Braga, A. C. |
Palavras-chave: | Comp2ROC ROC curve SPSS (R) (Statistical Package for Social Sciences) SPSS® (Statistical Package for Social Sciences) |
Data: | 2015 |
Editora: | Springer Verlag |
Revista: | Lecture Notes in Computer Science |
Resumo(s): | Receiver Operating Characteristic (ROC) analysis is a powerful tool to evaluate, view and compare diagnostic tests by a discriminating way. Currently there several ROC analysis tools, but none is known, by containing all the features necessary for a full investigation.In this work we determined the performance of Comp2ROC package (R package) and its functionality by performing comparative diagnostic systems based on empirical ROC curves for unpaired and paired samples. We compare this package with the functionality of IBM (R) SPSS (R) Statistics to analyse ROC curve, in order to determine whether it has better ability to execute both the level of performance as a result.For illustrative purpose we use a random sample of clinical indexes used in neonatal intensive care to evaluate the risk of death for newborns with very low birth weight (VLBW) (< 1500g) and/or gestational age < 32 weeks. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/52773 |
ISBN: | 9783319214061 |
DOI: | 10.1007/978-3-319-21407-8_11 |
ISSN: | 0302-9743 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito autor |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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CapInd7_340365_1_En_11_Chapter_AuthorSC_ACB.pdf Acesso restrito! | 1,82 MB | Adobe PDF | Ver/Abrir |