Table 1 Posterior likelihood for the training dataset, with each row summarizing probabilities of having more fractures, X (a random variable), when at least x=1, 2, 3, and 4 fractures are present (a deterministic variable).
From: High sensitivity methods for automated rib fracture detection in pediatric radiographs
X \(\ge\) x Fractures | N | \(\mathbb {P}\)(X>x|X\(\ge\) x) |
|---|---|---|
X \(\ge\) 1 | 444 | \(73.6\%\) |
X \(\ge\) 2 | 327 | \(81.3\%\) |
X \(\ge\) 3 | 266 | \(76.7\%\) |
X \(\ge\) 4 | 204 | \(77.0\%\) |
