Open AccessThe Diagnostic Competitions
Author(s) -
Feldman Alexander,
Kleer Johan,
Kurtoglu Tolga,
Narasimhan Sriram,
Poll Scott,
Garcia David,
Kuhn Lukas,
Gemund Arjan J. C.
Publication year - 2014
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v35i2.2532
Subject(s) - diagnostic test , diagnostic accuracy , computer science , set (abstract data type) , artificial intelligence , diagnostic model , machine learning , data mining , medicine , radiology , pediatrics , programming language
The international diagnostic competitions provide a set of diagnostic benchmarks to evaluate diagnostic algorithms. This article describes a common diagnostic framework used to evaluate these algorithms. These competitions, started in 2009, have significantly helped shape subsequent diagnostic algorithms.