Also, the detection performance becomes better for the probability of second stage detection is larger.
However, it is shown in Figure 10 that when Δ becomes larger, the probability of second stage fine detection, which also means the energy efficiency becomes lower.
The probability of second stage fine detection under different SNRs of the two proposed algorithms is analyzed in Figure 7. Figure 7 Probability of the second stage detection of the first and second TSEEOB-CCS algorithms with different λ 1 values.
The detection performance of the two proposed algorithms with different values of Δ is shown in Figure 9, and the probability of second stage fine detection with different Δ s of the algorithms is compared in Figure 10. Figure 9 Detection performance comparison of the two proposed algorithm with different values of Δ. λ1 is set to 1.1 in the simulation.
Using the probability of second stage fine detection obtained from Figure 7, we can calculate the percent of the reduced processing energy by the TSEEOB-CSS algorithms under different SNRs, and the results are shown in Figure 8. Figure 8 Energy-efficiency performance comparison of the proposed algorithms to the CCS algorithm with different λ 1 values.
We can see that although the detection performance with λ1 = 1.125 is worse than that with λ1 = 1.100 and 1.050 (from Figure 4), the probability of second stage detection is the lowest with the shortest sensing time and smallest energy consumption when the SNR is low or no PU exists.
In order to compare across three progressive stages, we standardized PB of the Pre, TvN, and Meta to be within 0∼1 by dividing the maximum probability of each stage.
For the prediction of potential proportions, the odds ratio values for patients belonging to patient groups with higher probability of advanced stage diagnosis were set to that of the relevant group with the lowest odds ratios.
There was evidence (P ≤ 0.007 for all) for deprivation gradients in patients with 4 of the 10 cancers (i.e. for melanoma, breast, endometrial and prostate cancer), with most deprived patients having a higher probability of advanced stage diagnosis.
In each year, women may or may not have developed cancer; if cancer was diagnosed, the probability of advanced stage disease at diagnosis depended on whether mammography had been performed that year as part of an annual, biennial, or more infrequent schedule of mammography.
