BMC Medical Informatics and Decision Making

Table 2 The probabilities are shown for each pair (θ _i, a _j) of a consequence function.

From: Decision theory applied to image quality control in radiology

P(x_i\|θ_j, a_k)	p₀	p₁	p₂	p₃	p₄	p₅	p₆	p₇
(θ ₀ , a ₀ )	0.150	0.110	0.070	0.050	0.300	0.200	0.080	0.040
(θ ₀ , a ₁ )	0.300	0.250	0.150	0.100	0.060	0.040	0.080	0.020
(θ ₁ , a ₀ )	0.100	0.060	0.100	0.150	0.100	0.050	0.250	0.190
(θ ₁ , a ₁ )	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(p ₄|θ ₀,a ₀) = 0.30.

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ISSN: 1472-6947

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