|
The probabilities are shown for each pair (θi, aj) of a consequence function. |
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| P(xi|θj, ak) |
p0 |
p1 |
p2 |
p3 |
p4 |
p5 |
p6 |
p7 |
|
|
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| (θ0, a0) |
0.150 |
0.110 |
0.070 |
0.050 |
0.300 |
0.200 |
0.080 |
0.040 |
| (θ0, a1) |
0.300 |
0.250 |
0.150 |
0.100 |
0.060 |
0.040 |
0.080 |
0.020 |
| (θ1, a0) |
0.100 |
0.060 |
0.100 |
0.150 |
0.100 |
0.050 |
0.250 |
0.190 |
| (θ1, a1) |
0.050 |
0.060 |
0.090 |
0.060 |
0.110 |
0.130 |
0.200 |
0.300 |
|
All values where calculated with the data obtained from table 1. The highest probability of a correct diagnosis with an increased cost and low client satisfaction was represented by P(p4|θ0,a0) = 0.30. | ||||||||
Lessa et al. BMC Medical Informatics and Decision Making 2008 8:51 doi:10.1186/1472-6947-8-51 |
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