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Comparison of the Levels of Accuracy of an Artificial Neural Network Model and a Logistic Regression Model for the Diagnosis of Acute Appendicitis

โœ Scribed by Shinya Sakai; Kuriko Kobayashi; Shin-ichi Toyabe; Nozomu Mandai; Tatsuo Kanda; Kohei Akazawa


Publisher
Springer US
Year
2007
Tongue
English
Weight
149 KB
Volume
31
Category
Article
ISSN
0148-5598

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A COMPARISON OF GOODNESS-OF-FIT TESTS FO
โœ D. W. HOSMER; T. HOSMER; S. LE CESSIE; S. LEMESHOW ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 271 KB ๐Ÿ‘ 3 views

Recent work has shown that there may be disadvantages in the use of the chi-square-like goodness-of-fit tests for the logistic regression model proposed by Hosmer and Lemeshow that use fixed groups of the estimated probabilities. A particular concern with these grouping strategies based on estimated