Controlling for chance agreement in the validation of medical expert systems with no gold standard: PNEUMON-IA and RENOIR revisited

Citation
M. Martin-baranera et al., Controlling for chance agreement in the validation of medical expert systems with no gold standard: PNEUMON-IA and RENOIR revisited, COMPUT BIOM, 33(6), 2000, pp. 380-397
Citations number
51
Categorie Soggetti
Multidisciplinary
Journal title
COMPUTERS AND BIOMEDICAL RESEARCH
ISSN journal
00104809 → ACNP
Volume
33
Issue
6
Year of publication
2000
Pages
380 - 397
Database
ISI
SICI code
0010-4809(200012)33:6<380:CFCAIT>2.0.ZU;2-#
Abstract
In the validation of medical expert systems. agreement among different huma n specialists on a random sample of cases may be taken as a substitute to a missing gold standard. Distance measures between pairs of experts. extensi vely described in previous studies. do not take into account the influence of chance-expected agreement. A weighted kappa index, with three different weighting schemes. is proposed as an alternative to be applied in the gener al situation of N cases assessed by E experts about K possible diagnoses, e ach of. them qualified with one of G ordinal categories. A hierarchical clu ster analysis. applied to the kappa matrices generated. allows for the clas sification of the expert system among clinical specialists. providing a rel ative assessment of its diagnostic ability. The above methodology is applie d to the validation of two medical expert systems. PNEUMON-IA and RENOIR. ( C) 2000 Academic Press.